Technical Lead
Porto
Porto, Porto District, Portugal

AI Team Lead (Remote)


Our client is looking for an experienced AI Team Lead to spearhead the design and implementation of
- generation AI services within a Saa
S environment. This professional will guide a multidisciplinary team to architect and deploy intelligent,
- driven solutions that enhance user experience and deliver real business impact.


Your Mission

AI Strategy & Leadership

  • Define and execute the AI technology roadmap, focusing on embedded intelligence and scalable solutions.
  • Lead the design of AI agent frameworks, establishing standards, governance, and integration patterns.
  • Stay ahead of emerging AI trends, technologies, and regulations to guide responsible innovation.

Hands-On Technical Leadership

  • Architect and prototype solutions using LLMs, embeddings, vector databases, and retrieval pipelines .
  • Lead by example in building scalable, modular AI systems integrated with cloud and microservices environments.
  • Establish Data
    Ops
    and MLOps best practices to ensure secure, efficient model deployment.

Cross-Functional Collaboration

  • Partner with Product, Engineering, and Architecture teams to identify opportunities for AI-driven automation and experience optimization.
  • Mentor AI engineers, data scientists, and developers on best practices for prompt engineering,
    - tuning, and model evaluation
    .

Governance & Quality

  • Define and monitor AI performance metrics, testing frameworks, and validation processes.
  • Establish internal standards for model reliability, interpretability, and fairness across enterprise use cases.


Requirements

  • 8+ years in software development, including 5+ years in AI/ML (LLM/Agent experience preferred).
  • 3+ years in a leadership role, managing AI or
    - focused teams.
  • Proven experience deploying LLM-based or AI production systems .
  • Strong expertise in Python and frameworks such as Py
    Torch, Tensor
    Flow, or Lang
    Chain
    .
  • Hands-on experience with LLMs, embeddings, RAG pipelines , and vector databases (Qdrant, Pinecone, FAISS).
  • Solid knowledge of data engineering, MLOps, CI/CD , and cloud environments (AWS preferred) .
  • Experience with REST/Graph
    QL APIs
    and microservice architectures .
  • English fluency (spoken and written).


Nice to Have

  • Experience with AI agent frameworks (Lang
    Graph, Crew
    AI, Auto
    Gen, Eliza
    OS).
  • Familiarity with data governance, privacy, and AI safety standards.
  • Prior experience integrating AI features into Saa
    S
    or industrial platforms .
  • Advanced degree in Computer Science, AI/ML, or Data Science .
  • Portuguese proficiency (preferred but not required).

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