- Architect and develop AI-driven solutions using LLMs including GPT, Claude, Gemini, and LLaMA.
- Build and maintain RAG pipelines with integration to a vector database for semantic search and retrieval.
- Design and manage workflows using LangChain, LangGraph, and LangSmith.
- Apply Model Context Protocol (MCP) for structured and reusable prompt engineering.
- Develop backend services primarily in PHP (preferred), or alternatively in Python or Java.
- Design, consume, and maintain RESTful and external APIs, ensuring secure and efficient integrations.
- Deploy AI services across AWS, Azure, or on-prem infrastructure as required.
- Monitor, evaluate, and optimize LLM usage and performance in real-world applications.
- Lead and mentor engineers across AI/ML development efforts.
- 2+ years of experience in AI, NLP, or LLM-based applications.
- 5+ years of experience with API development and consumption (REST, JSON, OAuth, etc.).
- Hands-on experience working with at least one of the major LLMs: GPT, Claude, Gemini, or LLaMA.
- Practical experience with RAG architecture and vector databases (e.g., ChromaDB, Pinecone, Weaviate).
- Strong backend development skills, preferably in PHP (alternatively Python or Java).
- Familiarity with LangChain, LangGraph, and LangSmith.
- Solid understanding of MCP (Model Context Protocol) and structured prompt design.
- Experience deploying and operating AI systems on AWS, Azure, or on-prem environments.
- A leadership role in an AI-first product team
- A hybrid working model (remote + office)
- Flexible working hours
- An onboarding program to guide you through all the company's departments
- Several amenities and perks
- Unique office space in the historical centre of Porto
- All the benefits of a large corporation combined with an informal and friendly environment
- A commitment to your development (we enjoy sharing and learning), with a career plan and regular feedback (regular 1-1 meetings and performance reviews)
- Health insurance
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