AI Senior Engineer

ITSector; Aveiro; Hybrid; EUR 70,000 - 90,000; Full time

Benefits offered by this job

Health Insurance

Team Building

Happy Hours

Training & Certification

Work-life balance

Job summary

ITSector in Aveiro, Portugal, is seeking an experienced AI/ML engineer to design, develop, and maintain AI-powered applications and intelligent agents. You will build integrations between AI models and enterprise systems, and develop scalable pipelines for knowledge retrieval and processing.

The role requires hands-on experience with LLMs, prompting, LangChain/LangGraph, cloud platforms, and strong Python skills. A hybrid work model and engagement with international projects are offered.

Qualifications

• 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.

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.

Skills

Python development

LLM/AI model experience

Prompting & context engineering

Agile / cross-functional teamwork

English proficiency

Education

Degree in Computer Engineering or AI

Tools

LangChain

LangGraph

Google ADK

Microsoft Agent Framework

Docker

Kubernetes

Terraform

CI/CD

Job description

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.

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.