Agentic AI Engineer Lisboa

Agentic AI Engineer
Lisboa
Lisboa, Lisboa, Portugal

We are looking for an experienced Generative AI Engineer skilled in
- based system development. This position focuses on designing, implementing, and optimizing intelligent
- agent workflows using advanced AI models and architectures. The ideal candidate is proficient in Python, AI agents, vector databases, and
- agent frameworks, and is eager to advance autonomous AI agents in production settings.

Key Responsibilities:

- Design, build, and maintain autonomous or
- autonomous AI agents using frameworks such as Lang
Graph, Autogen, Crew
AI, or Bedrock (Langgraph preferred)

- Engineer sophisticated prompting strategies to drive consistent, effective agent performance across dynamic use cases.

- Architect
-
- end solutions that integrate vector databases (e. g. , Azure AI Search, FAISS, Pinecone) with
- time or batch ETL pipelines to power agent memory and
- augmented generation (RAG).

- Leverage Cosmos
DB and other No
SQL data stores to manage
- scale, unstructured, and
- structured data efficiently.

- Collaborate
- functionally to integrate agent systems into broader products, APIs, and workflows.

- Continuously monitor the evolving Gen
AI landscape, evaluating new models, tools, protocols, and design patterns.

- Participate in code reviews, maintain code quality standards, and follow Git/Git
Hub workflows including branching, pull requests, and CI/CD practices.

- Conduct performance tuning and safety evaluations of AI agents across a variety of operational environments.

Required Qualifications:

- Strong programming skills in Python, including OOP principles and
- level code design.

- Demonstrated experience with prompt engineering techniques for large language models (LLMs) like GPT models, Claude, Gemini, or
- source equivalents.

- Deep understanding of AI agent concepts including memory management, planning, tool use, autonomous task execution, and evaluation metrics.

- Working knowledge of
- agent orchestration frameworks, preferably Lang
Graph, but experience with Autogen, Crew
AI, or similar is also valuable.

- Experience with vector databases (e. g. , Azure AI Search, Pinecone, FAISS, Chroma) for embedding storage and semantic search.

- Understanding of ETL processes and data transformation pipelines in both batch and streaming architectures.

- Familiarity with No
SQL databases, specifically Cosmos
DB, and designing scalable schemas for AI-driven systems.

- Proficiency with Git/Git
Hub, including use of Gitflow or similar collaborative workflows.

- Demonstrated ability to stay current on the latest Gen
AI models, protocols (e. g. , Open
AI Assistants, Function Calling, Lang
Chain Agents), and research trend.