GENAI / AGENTIC AI ENGINEER - MID (HYBRID)

Role overview

Responsibilities

• check_circle Design, develop, and deploy applications powered by LLMs;
• check_circle Build AI agents and multi-step agentic workflows;
• check_circle Develop and orchestrate AI workflows using LangGraph;
• check_circle Design and implement RAG and Graph RAG architectures;
• check_circle Create evaluation frameworks for quality, accuracy, reliability, and performance monitoring;
• check_circle Integrate AI solutions with enterprise data sources, PostgreSQL, vector databases, and vector search platforms;
• check_circle Develop maintainable, testable, and production-grade applications in Python;
• check_circle Support the deployment, operation, monitoring, and continuous improvement of GenAI solutions;
• check_circle Collaborate with engineering, data, product, and business teams;
• check_circle Translate business needs into practical and scalable AI solutions.

Basic qualifications

• At least three years of relevant professional experience;
• Practical experience with Large Language Models;
• Strong Python development skills;
• Hands-on experience with LangGraph;
• Experience designing AI agents or Agentic AI solutions;
• Knowledge of RAG and Graph RAG architectures;
• Experience building AI evaluation frameworks;
• Knowledge of PostgreSQL;
• Experience with vector databases or vector search;
• Ability to develop solutions suitable for production environments;
• English proficiency at B2 level or higher;
• Availability to work under a hybrid model in Lisbon or Porto.

Preferred qualifications

• Experience with Azure, AWS, or Google Cloud Platform;
• Knowledge of Azure OpenAI or the OpenAI platform;
• Experience working with Claude or Gemini;
• Knowledge of Docker and Kubernetes;
• Experience with cloud-native AI architectures;
• Familiarity with LLM observability, prompt management, security, and responsible AI practices;
• Experience taking GenAI products from proof of concept to production.

Benefits

• check_circle Work on innovative GenAI and Agentic AI initiatives;
• check_circle Build solutions with LLMs, LangGraph, RAG, and Graph RAG;
• check_circle Participate in the complete AI product lifecycle, from design to production;
• check_circle Solve relevant challenges within the energy sector;
• check_circle Collaborate with multidisciplinary technical and business teams;
• check_circle Benefit from a flexible hybrid working model;
• check_circle Work from Lisbon or Porto.