Careers

At the heart of our company is a culture of innovation, where creativity and research drive everything we do. Every day, you'll work with exceptional people who are the most up-to-date and skilled at leading banking transformation. Here, you’ll find opportunities to innovate, solve problems, and transform the way people experience banking.

Join us as we build banks for the future and change people’s financial lives. Check our current open positions below and take your career to The Next Level.

Looking for?

.NET Core Senior Developer

Porto, Portugal

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.NET Core Senior Developer

Lisbon, Portugal

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.NET Core Senior Developer

Aveiro, Portugal

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.NET Core Senior Developer

Braga, Portugal

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.NET Core Senior Developer

Bragança, Portugal

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.NET Core Senior Developer

Castelo Branco, Portugal

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HR Learning & Development Specialist

Porto, Portugal

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Let's take a look at the profile we are looking for:

Ambitious people with a passion for this area;
Academic degree in Human Resources;
2 to 4 years of experience in Learning & Development, Training Coordination, Talent Development, or similar roles;
Professional proficiency in English;
Experience planning, coordinating and monitoring training programs, ideally within IT, technology, or consulting environments;
Ability to identify learning needs and translate them into effective development solutions;
Strong project management skills, with the ability to handle multiple initiatives simultaneously;
Experience managing training vendors, learning partners and external training providers;
Advanced Excel skills and confidence working with data, reporting, KPIs and learning analytics;
Experience using Learning Management Systems (LMS) and digital learning platforms;
Interest in emerging learning technologies, Generative AI and their applications in learning and skills development;
Excellent communication, presentation and facilitation skills;
Highly organized, detail-oriented and results-driven;
Proactive attitude, continuous improvement mindset and passion for learning.

Main responsibilities:

Identify and analyze training needs, in coordination with different areas of the organization;
Research, select, and manage relationships with external suppliers and training partners;
Plan, organize, and coordinate internal and external training activities;
Coordinate the upskilling and reskilling initiatives according business needs;
Ensure all the administrative training process management;
Track and report learning metrics, participation rates, record and update training data and training effectiveness;
Explore innovative learning solutions, digital learning platforms and AI-powered learning technologies in coordination with the Group;
Contribute to building a innovate culture of continuous learning across the organization.

What can you expect?

National and international projects;
Health Insurance Benefit for all employees;
A fair system of competitive rewards upon knowledge and experience;
Certification, technical and behavioral training to become the best version of yourself;
Team Building and Happy Hours;
Committed and successful teams;
Opportunity to work in a challenging environment with dynamic teams and innovative projects;
Promotion of happiness, well-being at work, and physical and emotional health, with initiatives that allow a work-life balance culture;
Benefit scheme along with partners.

In line with our diversity, equity, and inclusion policy, at ITSector we value the creation of a work environment where every employee is treated with dignity and where every opinion matters. We believe that diversity makes us stronger and contributes to the innovation and success of our teams.

In ITSector there is no room for any potential bias, from the Talent Acquisition process till the Career & Development of our employees, diversity and inclusion, regardless of age, gender, ethnicity, race, nationality or any form of discrimination incompatible with dignity of human rights are our key drivers.

What are you waiting for?
Apply now and join ITSector's family!

AI Security Architect

Porto, Portugal

APPLY NOW

Let's take a look at the profile we are looking for:

Ambitious people with a passion for this area;
Degree in Computer Engineering, Electrical Engineering or similar;
Background in Cybersecurity, ideally application security, product security, cloud security, or security architecture;
Understanding of GenAI/LLM-based solutions from a security and risk perspective;
Experience with security reviews, architecture reviews, threat modelling, and defining technical controls;
Experience with IAM, API security, secrets management, logging, monitoring, and control validation;
Knowledge of data protection, privacy, data minimization, and secure handling of sensitive or regulated data;
Ability to challenge technical implementations and validate that controls are effectively applied;
Familiarity with AWS and/or Azure environments in the context of AI workload security;
Exposure to AWS Bedrock, Azure OpenAI/Azure AI Foundry, or similar GenAI platforms;
Familiarity with OWASP Top 10 for LLM Applications/Agentic AI, SAIF (Secure AI Framework), Model Context Protocol (MCP) and agent-to-tool security considerations, Agent-to-Agent (A2A) architectures and agentic trust boundaries, and emerging risk taxonomies such as MCP-38;
Exposure to DevSecOps and/or MLOps as a collaboration context;
Written and verbal communication skills (Portuguese and English);
Ability to work effectively and manage deadlines;
Sense of responsibility, commitment and integrity;
Focus on innovation, dynamism, autonomy and teamwork.

Main responsibilities:

Support and review AI/GenAI use cases from design through production;
Define security requirements for AI platforms, APIs, agents, tool use, and integrations;
Perform architecture reviews, threat modelling, and security reviews of AI solutions;
Validate integrations and deployments against security, privacy, logging, and auditability requirements;
Identify and mitigate risks such as prompt injection/jailbreaks, sensitive information disclosure/data leakage, unsafe tool use/excessive agency, abusive or unbounded consumption, insecure integrations or poisoned inputs;
Define guardrails for data usage, especially for sensitive, personal, confidential, or regulated data;
Ensure secure logging, monitoring, audit trails, and evidence of control effectiveness;
Contribute to AI security governance, standards, and secure-by-design patterns;

What can you expect?

Hybrid working model;
National and international projects;
Health Insurance Benefit for all employees;
A fair system of competitive rewards upon knowledge and experience;
Certification, technical and behavioral training to become the best version of yourself;
Team Building and Happy Hours;
Committed and successful teams;
Opportunity to work in a challenging environment with dynamic teams and innovative projects;
Promotion of happiness, well-being at work, and physical and emotional health, with initiatives that allow a work-life balance culture;
Benefit scheme along with partners.

What are you waiting for?
Apply now and join ITSector's family!

AI Security Architect

Lisbon, Portugal

APPLY NOW

Let's take a look at the profile we are looking for:

Ambitious people with a passion for this area;
Degree in Computer Engineering, Electrical Engineering or similar;
Background in Cybersecurity, ideally application security, product security, cloud security, or security architecture;
Understanding of GenAI/LLM-based solutions from a security and risk perspective;
Experience with security reviews, architecture reviews, threat modelling, and defining technical controls;
Experience with IAM, API security, secrets management, logging, monitoring, and control validation;
Knowledge of data protection, privacy, data minimization, and secure handling of sensitive or regulated data;
Ability to challenge technical implementations and validate that controls are effectively applied;
Familiarity with AWS and/or Azure environments in the context of AI workload security;
Exposure to AWS Bedrock, Azure OpenAI/Azure AI Foundry, or similar GenAI platforms;
Familiarity with OWASP Top 10 for LLM Applications/Agentic AI, SAIF (Secure AI Framework), Model Context Protocol (MCP) and agent-to-tool security considerations, Agent-to-Agent (A2A) architectures and agentic trust boundaries, and emerging risk taxonomies such as MCP-38;
Exposure to DevSecOps and/or MLOps as a collaboration context;
Written and verbal communication skills (Portuguese and English);
Ability to work effectively and manage deadlines;
Sense of responsibility, commitment and integrity;
Focus on innovation, dynamism, autonomy and teamwork.

Main responsibilities:

Support and review AI/GenAI use cases from design through production;
Define security requirements for AI platforms, APIs, agents, tool use, and integrations;
Perform architecture reviews, threat modelling, and security reviews of AI solutions;
Validate integrations and deployments against security, privacy, logging, and auditability requirements;
Identify and mitigate risks such as prompt injection/jailbreaks, sensitive information disclosure/data leakage, unsafe tool use/excessive agency, abusive or unbounded consumption, insecure integrations or poisoned inputs;
Define guardrails for data usage, especially for sensitive, personal, confidential, or regulated data;
Ensure secure logging, monitoring, audit trails, and evidence of control effectiveness;
Contribute to AI security governance, standards, and secure-by-design patterns;

What can you expect?

Hybrid working model;
National and international projects;
Health Insurance Benefit for all employees;
A fair system of competitive rewards upon knowledge and experience;
Certification, technical and behavioral training to become the best version of yourself;
Team Building and Happy Hours;
Committed and successful teams;
Opportunity to work in a challenging environment with dynamic teams and innovative projects;
Promotion of happiness, well-being at work, and physical and emotional health, with initiatives that allow a work-life balance culture;
Benefit scheme along with partners.

What are you waiting for?
Apply now and join ITSector's family!

AI Security Architect

Aveiro, Portugal

APPLY NOW

Let's take a look at the profile we are looking for:

Ambitious people with a passion for this area;
Degree in Computer Engineering, Electrical Engineering or similar;
Background in Cybersecurity, ideally application security, product security, cloud security, or security architecture;
Understanding of GenAI/LLM-based solutions from a security and risk perspective;
Experience with security reviews, architecture reviews, threat modelling, and defining technical controls;
Experience with IAM, API security, secrets management, logging, monitoring, and control validation;
Knowledge of data protection, privacy, data minimization, and secure handling of sensitive or regulated data;
Ability to challenge technical implementations and validate that controls are effectively applied;
Familiarity with AWS and/or Azure environments in the context of AI workload security;
Exposure to AWS Bedrock, Azure OpenAI/Azure AI Foundry, or similar GenAI platforms;
Familiarity with OWASP Top 10 for LLM Applications/Agentic AI, SAIF (Secure AI Framework), Model Context Protocol (MCP) and agent-to-tool security considerations, Agent-to-Agent (A2A) architectures and agentic trust boundaries, and emerging risk taxonomies such as MCP-38;
Exposure to DevSecOps and/or MLOps as a collaboration context;
Written and verbal communication skills (Portuguese and English);
Ability to work effectively and manage deadlines;
Sense of responsibility, commitment and integrity;
Focus on innovation, dynamism, autonomy and teamwork.

Main responsibilities:

Support and review AI/GenAI use cases from design through production;
Define security requirements for AI platforms, APIs, agents, tool use, and integrations;
Perform architecture reviews, threat modelling, and security reviews of AI solutions;
Validate integrations and deployments against security, privacy, logging, and auditability requirements;
Identify and mitigate risks such as prompt injection/jailbreaks, sensitive information disclosure/data leakage, unsafe tool use/excessive agency, abusive or unbounded consumption, insecure integrations or poisoned inputs;
Define guardrails for data usage, especially for sensitive, personal, confidential, or regulated data;
Ensure secure logging, monitoring, audit trails, and evidence of control effectiveness;
Contribute to AI security governance, standards, and secure-by-design patterns;

What can you expect?

Hybrid working model;
National and international projects;
Health Insurance Benefit for all employees;
A fair system of competitive rewards upon knowledge and experience;
Certification, technical and behavioral training to become the best version of yourself;
Team Building and Happy Hours;
Committed and successful teams;
Opportunity to work in a challenging environment with dynamic teams and innovative projects;
Promotion of happiness, well-being at work, and physical and emotional health, with initiatives that allow a work-life balance culture;
Benefit scheme along with partners.

What are you waiting for?
Apply now and join ITSector's family!

AI Security Architect

Braga, Portugal

APPLY NOW

Let's take a look at the profile we are looking for:

Ambitious people with a passion for this area;
Degree in Computer Engineering, Electrical Engineering or similar;
Background in Cybersecurity, ideally application security, product security, cloud security, or security architecture;
Understanding of GenAI/LLM-based solutions from a security and risk perspective;
Experience with security reviews, architecture reviews, threat modelling, and defining technical controls;
Experience with IAM, API security, secrets management, logging, monitoring, and control validation;
Knowledge of data protection, privacy, data minimization, and secure handling of sensitive or regulated data;
Ability to challenge technical implementations and validate that controls are effectively applied;
Familiarity with AWS and/or Azure environments in the context of AI workload security;
Exposure to AWS Bedrock, Azure OpenAI/Azure AI Foundry, or similar GenAI platforms;
Familiarity with OWASP Top 10 for LLM Applications/Agentic AI, SAIF (Secure AI Framework), Model Context Protocol (MCP) and agent-to-tool security considerations, Agent-to-Agent (A2A) architectures and agentic trust boundaries, and emerging risk taxonomies such as MCP-38;
Exposure to DevSecOps and/or MLOps as a collaboration context;
Written and verbal communication skills (Portuguese and English);
Ability to work effectively and manage deadlines;
Sense of responsibility, commitment and integrity;
Focus on innovation, dynamism, autonomy and teamwork.

Main responsibilities:

Support and review AI/GenAI use cases from design through production;
Define security requirements for AI platforms, APIs, agents, tool use, and integrations;
Perform architecture reviews, threat modelling, and security reviews of AI solutions;
Validate integrations and deployments against security, privacy, logging, and auditability requirements;
Identify and mitigate risks such as prompt injection/jailbreaks, sensitive information disclosure/data leakage, unsafe tool use/excessive agency, abusive or unbounded consumption, insecure integrations or poisoned inputs;
Define guardrails for data usage, especially for sensitive, personal, confidential, or regulated data;
Ensure secure logging, monitoring, audit trails, and evidence of control effectiveness;
Contribute to AI security governance, standards, and secure-by-design patterns;

What can you expect?

Hybrid working model;
National and international projects;
Health Insurance Benefit for all employees;
A fair system of competitive rewards upon knowledge and experience;
Certification, technical and behavioral training to become the best version of yourself;
Team Building and Happy Hours;
Committed and successful teams;
Opportunity to work in a challenging environment with dynamic teams and innovative projects;
Promotion of happiness, well-being at work, and physical and emotional health, with initiatives that allow a work-life balance culture;
Benefit scheme along with partners.

What are you waiting for?
Apply now and join ITSector's family!

AI Security Architect

Bragança, Portugal

APPLY NOW

Let's take a look at the profile we are looking for:

Ambitious people with a passion for this area;
Degree in Computer Engineering, Electrical Engineering or similar;
Background in Cybersecurity, ideally application security, product security, cloud security, or security architecture;
Understanding of GenAI/LLM-based solutions from a security and risk perspective;
Experience with security reviews, architecture reviews, threat modelling, and defining technical controls;
Experience with IAM, API security, secrets management, logging, monitoring, and control validation;
Knowledge of data protection, privacy, data minimization, and secure handling of sensitive or regulated data;
Ability to challenge technical implementations and validate that controls are effectively applied;
Familiarity with AWS and/or Azure environments in the context of AI workload security;
Exposure to AWS Bedrock, Azure OpenAI/Azure AI Foundry, or similar GenAI platforms;
Familiarity with OWASP Top 10 for LLM Applications/Agentic AI, SAIF (Secure AI Framework), Model Context Protocol (MCP) and agent-to-tool security considerations, Agent-to-Agent (A2A) architectures and agentic trust boundaries, and emerging risk taxonomies such as MCP-38;
Exposure to DevSecOps and/or MLOps as a collaboration context;
Written and verbal communication skills (Portuguese and English);
Ability to work effectively and manage deadlines;
Sense of responsibility, commitment and integrity;
Focus on innovation, dynamism, autonomy and teamwork.

Main responsibilities:

Support and review AI/GenAI use cases from design through production;
Define security requirements for AI platforms, APIs, agents, tool use, and integrations;
Perform architecture reviews, threat modelling, and security reviews of AI solutions;
Validate integrations and deployments against security, privacy, logging, and auditability requirements;
Identify and mitigate risks such as prompt injection/jailbreaks, sensitive information disclosure/data leakage, unsafe tool use/excessive agency, abusive or unbounded consumption, insecure integrations or poisoned inputs;
Define guardrails for data usage, especially for sensitive, personal, confidential, or regulated data;
Ensure secure logging, monitoring, audit trails, and evidence of control effectiveness;
Contribute to AI security governance, standards, and secure-by-design patterns;

What can you expect?

Hybrid working model;
National and international projects;
Health Insurance Benefit for all employees;
A fair system of competitive rewards upon knowledge and experience;
Certification, technical and behavioral training to become the best version of yourself;
Team Building and Happy Hours;
Committed and successful teams;
Opportunity to work in a challenging environment with dynamic teams and innovative projects;
Promotion of happiness, well-being at work, and physical and emotional health, with initiatives that allow a work-life balance culture;
Benefit scheme along with partners.

What are you waiting for?
Apply now and join ITSector's family!

AI Security Architect

Castelo Branco, Portugal

APPLY NOW

Let's take a look at the profile we are looking for:

Ambitious people with a passion for this area;
Degree in Computer Engineering, Electrical Engineering or similar;
Background in Cybersecurity, ideally application security, product security, cloud security, or security architecture;
Understanding of GenAI/LLM-based solutions from a security and risk perspective;
Experience with security reviews, architecture reviews, threat modelling, and defining technical controls;
Experience with IAM, API security, secrets management, logging, monitoring, and control validation;
Knowledge of data protection, privacy, data minimization, and secure handling of sensitive or regulated data;
Ability to challenge technical implementations and validate that controls are effectively applied;
Familiarity with AWS and/or Azure environments in the context of AI workload security;
Exposure to AWS Bedrock, Azure OpenAI/Azure AI Foundry, or similar GenAI platforms;
Familiarity with OWASP Top 10 for LLM Applications/Agentic AI, SAIF (Secure AI Framework), Model Context Protocol (MCP) and agent-to-tool security considerations, Agent-to-Agent (A2A) architectures and agentic trust boundaries, and emerging risk taxonomies such as MCP-38;
Exposure to DevSecOps and/or MLOps as a collaboration context;
Written and verbal communication skills (Portuguese and English);
Ability to work effectively and manage deadlines;
Sense of responsibility, commitment and integrity;
Focus on innovation, dynamism, autonomy and teamwork.

Main responsibilities:

Support and review AI/GenAI use cases from design through production;
Define security requirements for AI platforms, APIs, agents, tool use, and integrations;
Perform architecture reviews, threat modelling, and security reviews of AI solutions;
Validate integrations and deployments against security, privacy, logging, and auditability requirements;
Identify and mitigate risks such as prompt injection/jailbreaks, sensitive information disclosure/data leakage, unsafe tool use/excessive agency, abusive or unbounded consumption, insecure integrations or poisoned inputs;
Define guardrails for data usage, especially for sensitive, personal, confidential, or regulated data;
Ensure secure logging, monitoring, audit trails, and evidence of control effectiveness;
Contribute to AI security governance, standards, and secure-by-design patterns;

What can you expect?

Hybrid working model;
National and international projects;
Health Insurance Benefit for all employees;
A fair system of competitive rewards upon knowledge and experience;
Certification, technical and behavioral training to become the best version of yourself;
Team Building and Happy Hours;
Committed and successful teams;
Opportunity to work in a challenging environment with dynamic teams and innovative projects;
Promotion of happiness, well-being at work, and physical and emotional health, with initiatives that allow a work-life balance culture;
Benefit scheme along with partners.

What are you waiting for?
Apply now and join ITSector's family!

AI Senior Engineer

Porto, Portugal

APPLY NOW

Let's take a look at the profile we are looking for:

Ambitious people with a passion for this area;
Degree in Computer Engineering, Artificial Intelligence or similar;
Minimum 5 years of professional software engineering experience, including 3+ years designing and implementing AI-based solutions in production environments;
Hands-on experience with state-of-the-art LLMs such as GPT, Gemini, Claude, Llama, Mistral, or equivalent models;
Ability to design effective prompting and context-engineering strategies, structured outputs, and evaluation approaches to optimize LLM performance for production use;
Experience building AI agent applications using frameworks such as LangChain, LangGraph, Google ADK, Microsoft Agent Framework, or comparable technologies;
Understanding of agent workflows, multi-step reasoning, memory management, tool calling, and state orchestration;
Strong Python development skills;
Experience with additional programming languages like .NET (mandatory);
Knowledge of asynchronous programming, API development, relational and NoSQL databases, and scalable service-oriented architectures;
Experience designing and implementing AI pipelines for document ingestion, indexing, retrieval, and response generation;
Understanding of AI quality evaluation, latency optimization, and cost monitoring;
Experience working with Azure, Google Cloud Platform, or equivalent cloud environments;
Knowledge of Docker, Kubernetes, Infrastructure as Code (Terraform), and CI/CD practices;
Familiarity with cloud security, identity management (IAM), and deployment automation;
Familiarity with AI-powered software development tools, including GitHub Copilot and AI-assisted testing, code review, and development workflows;
Experience implementing secure secret management and applying data governance and privacy best practices, including GDPR compliance;
Written and verbal communication skills (Portuguese and English);
Passion for learning and staying up to date with the rapidly evolving AI ecosystem;
Strong analytical and problem-solving skills;
Self-driven mindset with a focus on continuous improvement;
Ability to work effectively in cross-functional and agile teams;
Sense of responsibility, commitment and integrity;
Focus on innovation, dynamism, autonomy and teamwork.

Main responsibilities:

Design, develop, and maintain AI-powered applications and intelligent agents;
Build integrations between AI models and enterprise systems through APIs and custom tools;
Develop scalable pipelines for knowledge retrieval and information processing;
Ensure AI solutions are secure, reliable, scalable, and production ready;
Promote engineering best practices across LLMOps, MLOps, observability, testing, and continuous delivery;
Evaluate emerging AI technologies and contribute to the evolution of the organization's AI capabilities.

What can you expect?

Hybrid working model;
National and international projects;
Health Insurance Benefit for all employees;
A fair system of competitive rewards upon knowledge and experience;
Certification, technical and behavioral training to become the best version of yourself;
Team Building and Happy Hours;
Committed and successful teams;
Opportunity to work in a challenging environment with dynamic teams and innovative projects;
Promotion of happiness, well-being at work, and physical and emotional health, with initiatives that allow a work-life balance culture;
Benefit scheme along with partners.

What are you waiting for?
Apply now and join ITSector's family!

AI Senior Engineer

Lisbon, Portugal

APPLY NOW

Let's take a look at the profile we are looking for:

Ambitious people with a passion for this area;
Degree in Computer Engineering, Artificial Intelligence or similar;
Minimum 5 years of professional software engineering experience, including 3+ years designing and implementing AI-based solutions in production environments;
Hands-on experience with state-of-the-art LLMs such as GPT, Gemini, Claude, Llama, Mistral, or equivalent models;
Ability to design effective prompting and context-engineering strategies, structured outputs, and evaluation approaches to optimize LLM performance for production use;
Experience building AI agent applications using frameworks such as LangChain, LangGraph, Google ADK, Microsoft Agent Framework, or comparable technologies;
Understanding of agent workflows, multi-step reasoning, memory management, tool calling, and state orchestration;
Strong Python development skills;
Experience with additional programming languages like .NET (mandatory);
Knowledge of asynchronous programming, API development, relational and NoSQL databases, and scalable service-oriented architectures;
Experience designing and implementing AI pipelines for document ingestion, indexing, retrieval, and response generation;
Understanding of AI quality evaluation, latency optimization, and cost monitoring;
Experience working with Azure, Google Cloud Platform, or equivalent cloud environments;
Knowledge of Docker, Kubernetes, Infrastructure as Code (Terraform), and CI/CD practices;
Familiarity with cloud security, identity management (IAM), and deployment automation;
Familiarity with AI-powered software development tools, including GitHub Copilot and AI-assisted testing, code review, and development workflows;
Experience implementing secure secret management and applying data governance and privacy best practices, including GDPR compliance;
Written and verbal communication skills (Portuguese and English);
Passion for learning and staying up to date with the rapidly evolving AI ecosystem;
Strong analytical and problem-solving skills;
Self-driven mindset with a focus on continuous improvement;
Ability to work effectively in cross-functional and agile teams;
Sense of responsibility, commitment and integrity;
Focus on innovation, dynamism, autonomy and teamwork.

Main responsibilities:

Design, develop, and maintain AI-powered applications and intelligent agents;
Build integrations between AI models and enterprise systems through APIs and custom tools;
Develop scalable pipelines for knowledge retrieval and information processing;
Ensure AI solutions are secure, reliable, scalable, and production ready;
Promote engineering best practices across LLMOps, MLOps, observability, testing, and continuous delivery;
Evaluate emerging AI technologies and contribute to the evolution of the organization's AI capabilities.

What can you expect?

Hybrid working model;
National and international projects;
Health Insurance Benefit for all employees;
A fair system of competitive rewards upon knowledge and experience;
Certification, technical and behavioral training to become the best version of yourself;
Team Building and Happy Hours;
Committed and successful teams;
Opportunity to work in a challenging environment with dynamic teams and innovative projects;
Promotion of happiness, well-being at work, and physical and emotional health, with initiatives that allow a work-life balance culture;
Benefit scheme along with partners.

What are you waiting for?
Apply now and join ITSector's family!

AI Senior Engineer

Aveiro, Portugal

APPLY NOW

Let's take a look at the profile we are looking for:

Ambitious people with a passion for this area;
Degree in Computer Engineering, Artificial Intelligence or similar;
Minimum 5 years of professional software engineering experience, including 3+ years designing and implementing AI-based solutions in production environments;
Hands-on experience with state-of-the-art LLMs such as GPT, Gemini, Claude, Llama, Mistral, or equivalent models;
Ability to design effective prompting and context-engineering strategies, structured outputs, and evaluation approaches to optimize LLM performance for production use;
Experience building AI agent applications using frameworks such as LangChain, LangGraph, Google ADK, Microsoft Agent Framework, or comparable technologies;
Understanding of agent workflows, multi-step reasoning, memory management, tool calling, and state orchestration;
Strong Python development skills;
Experience with additional programming languages like .NET (mandatory);
Knowledge of asynchronous programming, API development, relational and NoSQL databases, and scalable service-oriented architectures;
Experience designing and implementing AI pipelines for document ingestion, indexing, retrieval, and response generation;
Understanding of AI quality evaluation, latency optimization, and cost monitoring;
Experience working with Azure, Google Cloud Platform, or equivalent cloud environments;
Knowledge of Docker, Kubernetes, Infrastructure as Code (Terraform), and CI/CD practices;
Familiarity with cloud security, identity management (IAM), and deployment automation;
Familiarity with AI-powered software development tools, including GitHub Copilot and AI-assisted testing, code review, and development workflows;
Experience implementing secure secret management and applying data governance and privacy best practices, including GDPR compliance;
Written and verbal communication skills (Portuguese and English);
Passion for learning and staying up to date with the rapidly evolving AI ecosystem;
Strong analytical and problem-solving skills;
Self-driven mindset with a focus on continuous improvement;
Ability to work effectively in cross-functional and agile teams;
Sense of responsibility, commitment and integrity;
Focus on innovation, dynamism, autonomy and teamwork.

Main responsibilities:

Design, develop, and maintain AI-powered applications and intelligent agents;
Build integrations between AI models and enterprise systems through APIs and custom tools;
Develop scalable pipelines for knowledge retrieval and information processing;
Ensure AI solutions are secure, reliable, scalable, and production ready;
Promote engineering best practices across LLMOps, MLOps, observability, testing, and continuous delivery;
Evaluate emerging AI technologies and contribute to the evolution of the organization's AI capabilities.

What can you expect?

Hybrid working model;
National and international projects;
Health Insurance Benefit for all employees;
A fair system of competitive rewards upon knowledge and experience;
Certification, technical and behavioral training to become the best version of yourself;
Team Building and Happy Hours;
Committed and successful teams;
Opportunity to work in a challenging environment with dynamic teams and innovative projects;
Promotion of happiness, well-being at work, and physical and emotional health, with initiatives that allow a work-life balance culture;
Benefit scheme along with partners.

What are you waiting for?
Apply now and join ITSector's family!

AI Senior Engineer

Braga, Portugal

APPLY NOW

Let's take a look at the profile we are looking for:

Ambitious people with a passion for this area;
Degree in Computer Engineering, Artificial Intelligence or similar;
Minimum 5 years of professional software engineering experience, including 3+ years designing and implementing AI-based solutions in production environments;
Hands-on experience with state-of-the-art LLMs such as GPT, Gemini, Claude, Llama, Mistral, or equivalent models;
Ability to design effective prompting and context-engineering strategies, structured outputs, and evaluation approaches to optimize LLM performance for production use;
Experience building AI agent applications using frameworks such as LangChain, LangGraph, Google ADK, Microsoft Agent Framework, or comparable technologies;
Understanding of agent workflows, multi-step reasoning, memory management, tool calling, and state orchestration;
Strong Python development skills;
Experience with additional programming languages like .NET (mandatory);
Knowledge of asynchronous programming, API development, relational and NoSQL databases, and scalable service-oriented architectures;
Experience designing and implementing AI pipelines for document ingestion, indexing, retrieval, and response generation;
Understanding of AI quality evaluation, latency optimization, and cost monitoring;
Experience working with Azure, Google Cloud Platform, or equivalent cloud environments;
Knowledge of Docker, Kubernetes, Infrastructure as Code (Terraform), and CI/CD practices;
Familiarity with cloud security, identity management (IAM), and deployment automation;
Familiarity with AI-powered software development tools, including GitHub Copilot and AI-assisted testing, code review, and development workflows;
Experience implementing secure secret management and applying data governance and privacy best practices, including GDPR compliance;
Written and verbal communication skills (Portuguese and English);
Passion for learning and staying up to date with the rapidly evolving AI ecosystem;
Strong analytical and problem-solving skills;
Self-driven mindset with a focus on continuous improvement;
Ability to work effectively in cross-functional and agile teams;
Sense of responsibility, commitment and integrity;
Focus on innovation, dynamism, autonomy and teamwork.

Main responsibilities:

Design, develop, and maintain AI-powered applications and intelligent agents;
Build integrations between AI models and enterprise systems through APIs and custom tools;
Develop scalable pipelines for knowledge retrieval and information processing;
Ensure AI solutions are secure, reliable, scalable, and production ready;
Promote engineering best practices across LLMOps, MLOps, observability, testing, and continuous delivery;
Evaluate emerging AI technologies and contribute to the evolution of the organization's AI capabilities.

What can you expect?

Hybrid working model;
National and international projects;
Health Insurance Benefit for all employees;
A fair system of competitive rewards upon knowledge and experience;
Certification, technical and behavioral training to become the best version of yourself;
Team Building and Happy Hours;
Committed and successful teams;
Opportunity to work in a challenging environment with dynamic teams and innovative projects;
Promotion of happiness, well-being at work, and physical and emotional health, with initiatives that allow a work-life balance culture;
Benefit scheme along with partners.

What are you waiting for?
Apply now and join ITSector's family!

AI Senior Engineer

Bragança, Portugal

APPLY NOW

Let's take a look at the profile we are looking for:

Ambitious people with a passion for this area;
Degree in Computer Engineering, Artificial Intelligence or similar;
Minimum 5 years of professional software engineering experience, including 3+ years designing and implementing AI-based solutions in production environments;
Hands-on experience with state-of-the-art LLMs such as GPT, Gemini, Claude, Llama, Mistral, or equivalent models;
Ability to design effective prompting and context-engineering strategies, structured outputs, and evaluation approaches to optimize LLM performance for production use;
Experience building AI agent applications using frameworks such as LangChain, LangGraph, Google ADK, Microsoft Agent Framework, or comparable technologies;
Understanding of agent workflows, multi-step reasoning, memory management, tool calling, and state orchestration;
Strong Python development skills;
Experience with additional programming languages like .NET (mandatory);
Knowledge of asynchronous programming, API development, relational and NoSQL databases, and scalable service-oriented architectures;
Experience designing and implementing AI pipelines for document ingestion, indexing, retrieval, and response generation;
Understanding of AI quality evaluation, latency optimization, and cost monitoring;
Experience working with Azure, Google Cloud Platform, or equivalent cloud environments;
Knowledge of Docker, Kubernetes, Infrastructure as Code (Terraform), and CI/CD practices;
Familiarity with cloud security, identity management (IAM), and deployment automation;
Familiarity with AI-powered software development tools, including GitHub Copilot and AI-assisted testing, code review, and development workflows;
Experience implementing secure secret management and applying data governance and privacy best practices, including GDPR compliance;
Written and verbal communication skills (Portuguese and English);
Passion for learning and staying up to date with the rapidly evolving AI ecosystem;
Strong analytical and problem-solving skills;
Self-driven mindset with a focus on continuous improvement;
Ability to work effectively in cross-functional and agile teams;
Sense of responsibility, commitment and integrity;
Focus on innovation, dynamism, autonomy and teamwork.

Main responsibilities:

Design, develop, and maintain AI-powered applications and intelligent agents;
Build integrations between AI models and enterprise systems through APIs and custom tools;
Develop scalable pipelines for knowledge retrieval and information processing;
Ensure AI solutions are secure, reliable, scalable, and production ready;
Promote engineering best practices across LLMOps, MLOps, observability, testing, and continuous delivery;
Evaluate emerging AI technologies and contribute to the evolution of the organization's AI capabilities.

What can you expect?

Hybrid working model;
National and international projects;
Health Insurance Benefit for all employees;
A fair system of competitive rewards upon knowledge and experience;
Certification, technical and behavioral training to become the best version of yourself;
Team Building and Happy Hours;
Committed and successful teams;
Opportunity to work in a challenging environment with dynamic teams and innovative projects;
Promotion of happiness, well-being at work, and physical and emotional health, with initiatives that allow a work-life balance culture;
Benefit scheme along with partners.

What are you waiting for?
Apply now and join ITSector's family!

AI Senior Engineer

Castelo Branco, Portugal

APPLY NOW

Let's take a look at the profile we are looking for:

Ambitious people with a passion for this area;
Degree in Computer Engineering, Artificial Intelligence or similar;
Minimum 5 years of professional software engineering experience, including 3+ years designing and implementing AI-based solutions in production environments;
Hands-on experience with state-of-the-art LLMs such as GPT, Gemini, Claude, Llama, Mistral, or equivalent models;
Ability to design effective prompting and context-engineering strategies, structured outputs, and evaluation approaches to optimize LLM performance for production use;
Experience building AI agent applications using frameworks such as LangChain, LangGraph, Google ADK, Microsoft Agent Framework, or comparable technologies;
Understanding of agent workflows, multi-step reasoning, memory management, tool calling, and state orchestration;
Strong Python development skills;
Experience with additional programming languages like .NET (mandatory);
Knowledge of asynchronous programming, API development, relational and NoSQL databases, and scalable service-oriented architectures;
Experience designing and implementing AI pipelines for document ingestion, indexing, retrieval, and response generation;
Understanding of AI quality evaluation, latency optimization, and cost monitoring;
Experience working with Azure, Google Cloud Platform, or equivalent cloud environments;
Knowledge of Docker, Kubernetes, Infrastructure as Code (Terraform), and CI/CD practices;
Familiarity with cloud security, identity management (IAM), and deployment automation;
Familiarity with AI-powered software development tools, including GitHub Copilot and AI-assisted testing, code review, and development workflows;
Experience implementing secure secret management and applying data governance and privacy best practices, including GDPR compliance;
Written and verbal communication skills (Portuguese and English);
Passion for learning and staying up to date with the rapidly evolving AI ecosystem;
Strong analytical and problem-solving skills;
Self-driven mindset with a focus on continuous improvement;
Ability to work effectively in cross-functional and agile teams;
Sense of responsibility, commitment and integrity;
Focus on innovation, dynamism, autonomy and teamwork.

Main responsibilities:

Design, develop, and maintain AI-powered applications and intelligent agents;
Build integrations between AI models and enterprise systems through APIs and custom tools;
Develop scalable pipelines for knowledge retrieval and information processing;
Ensure AI solutions are secure, reliable, scalable, and production ready;
Promote engineering best practices across LLMOps, MLOps, observability, testing, and continuous delivery;
Evaluate emerging AI technologies and contribute to the evolution of the organization's AI capabilities.

What can you expect?

Hybrid working model;
National and international projects;
Health Insurance Benefit for all employees;
A fair system of competitive rewards upon knowledge and experience;
Certification, technical and behavioral training to become the best version of yourself;
Team Building and Happy Hours;
Committed and successful teams;
Opportunity to work in a challenging environment with dynamic teams and innovative projects;
Promotion of happiness, well-being at work, and physical and emotional health, with initiatives that allow a work-life balance culture;
Benefit scheme along with partners.

What are you waiting for?
Apply now and join ITSector's family!

Do what you Love

ITSector Academy
Training & Certification
Happy Hours
Team Work

We Believe In You

Training & Certifications

We want to strengthen your skills, passions and experiences, stimulating your creativity while encouraging communication and knowledge exchange.

We aim to promote a culture of self-training and research, providing solutions that are suitable to our employees’ needs. We believe that investing in your development is imperative for our competitiveness.

Become the Best
Version of Yourself

Are you ready to face the challenge?
We want to attract top talent and foster an environment where you can unleash your full potential in a challenging, creative, and innovative way.

We Care About You

Innovation through diversity and inclusion

We value the creation of a work environment where every employee is treated with dignity and where every opinion matters. We believe that diversity and inclusion makes us stronger and contributes to the innovation and success of our teams.

We Have Fun With You

Happy Hours

Our happy hour events are more than just a break from work — they celebrate what we’ve accomplished together. Step out of the office, celebrate your achievements, and unwind together!

Kick-Offs

Once a year, we organize our biggest event, with the purpose of celebrating the previous year’s achievements, and to set new and ambitious goals for the upcoming one.

Have Fun & Feel Valued

At ITSector there’s time to work and, there’s time to relax! We have a lounge area where you can play games PlayStation, table football, and darts, read magazines, or just sit down and hang out with your colleagues.

You can also enjoy your home cooked meals in our lunchroom, where we daily provide free coffee, tea, water and fresh fruit.

Employee Testimonials

Anabela Moreira

Unit Leader

“Every day is a thrilling challenge that allows us to work with clients on innovative projects with multiple technologies. This enables me to constantly grow and explore new approaches to solving problems, boosting my professional growth and motivation.”

Employee Testimonials

David Lucas

IS Architect

“I was instantly hooked by the people's sense of camaraderie and support as soon as I arrived. It's normal to be anxious about what you're going to find, but those worries soon vanished when I realized people genuinely enjoy helping and supporting others. This feeling is still present and embedded in our DNA almost ten years later.”

Employee Testimonials

Mafalda Morais

Project Manager

“I admire ITSector's concern for its people, promoting a happy, laid-back atmosphere where team spirit is evident. Over the nearly ten years that ITSector has been in my life, I have taken on many exciting challenges and have always been encouraged to learn and improve.”

Employee Testimonials

Nuno Cunha

IS Architect

“Working at ITSector represents the opportunity to help create cutting-edge solutions that improve how customers interact with their bank on a regular basis.”

Employee Testimonials

Hugo Ferreira

Android Trainee

“What stood out to me the most upon joining ITSector was the people. They were always ready to help and provide support whenever there was an issue with the project. The team environment is simply amazing.”

Careers

You can always send us aSpontaneous Application.

Looking for?

.NET Core Senior Developer

.NET Core Senior Developer

.NET Core Senior Developer

.NET Core Senior Developer

.NET Core Senior Developer

.NET Core Senior Developer

HR Learning & Development Specialist

AI Security Architect

AI Security Architect

AI Security Architect

AI Security Architect

AI Security Architect

AI Security Architect

AI Senior Engineer

AI Senior Engineer

AI Senior Engineer

AI Senior Engineer

AI Senior Engineer

AI Senior Engineer

Send us a Spontaneous Application.

Take your Career to the Next Level

Do what you Love

We Believe In You

Training & Certifications

Become the BestVersion of Yourself

We Care About You

Innovation through diversity and inclusion

We Have Fun With You

Happy Hours

Kick-Offs

Have Fun & Feel Valued

Employee Testimonials

Anabela Moreira

Unit Leader

Employee Testimonials

David Lucas

IS Architect

Employee Testimonials

Mafalda Morais

Project Manager

Employee Testimonials

Nuno Cunha

IS Architect

Employee Testimonials

Hugo Ferreira

Android Trainee

You can always send us a
Spontaneous Application.

Become the Best
Version of Yourself