PRODYNA
AI Engineer
- Compensation
- Not disclosed
- Location
- Thessaloniki, Central Macedonia, Greece
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ai engineering
- Posted
Skills
Must have
- Design and develop Python backend services and APIs using Django, FastAPI, and Uvicorn.
- Build RAG pipelines with chunking, embeddings, hybrid retrieval, reranking, and vector databases.
- Develop AI agents and tool integrations using orchestration frameworks and Model Context Protocol (MCP).
- Manage versioned, composable system prompts and implement agent and tool policies.
- Evaluate and monitor LLM applications, optimizing quality, token costs, latency, and streaming performance.
- Maintain reliable services with automated tests, database migrations, Docker, and GitLab CI
- Strong Python development skills and experience with Django or FastAPI.
- Experience with PostgreSQL, Redis, Celery, and Docker.
- Practical understanding of LLM applications, RAG, embeddings, vector search, and retrieval quality.
- Experience with agent orchestration frameworks such as Google ADK, Haystack, or LangGraph.
- Familiarity with prompt engineering, tool calling, and MCP integrations.
- Experience building documented APIs with OpenAPI, writing tests with pytest, and managing database migrations.
- Ability to translate business requirements into maintainable software and collaborate effectively with colleagues and clients.
Full description
At PRODYNA we design, implement, and operate custom software applications for mid- to large-sized enterprises. We help our customers develop innovative solutions through digitalization and cloud computing. As an AI Engineer, you will build Python backend services and integrate large language models, retrieval pipelines, and AI agents into practical business applications.
Requirements
- Design and develop Python backend services and APIs using Django, FastAPI, and Uvicorn.
- Build RAG pipelines with chunking, embeddings, hybrid retrieval, reranking, and vector databases.
- Develop AI agents and tool integrations using orchestration frameworks and Model Context Protocol (MCP).
- Manage versioned, composable system prompts and implement agent and tool policies.
- Evaluate and monitor LLM applications, optimizing quality, token costs, latency, and streaming performance.
- Maintain reliable services with automated tests, database migrations, Docker, and GitLab CI
Your profile
- Strong Python development skills and experience with Django or FastAPI.
- Experience with PostgreSQL, Redis, Celery, and Docker.
- Practical understanding of LLM applications, RAG, embeddings, vector search, and retrieval quality.
- Experience with agent orchestration frameworks such as Google ADK, Haystack, or LangGraph.
- Familiarity with prompt engineering, tool calling, and MCP integrations.
- Experience building documented APIs with OpenAPI, writing tests with pytest, and managing database migrations.
- Ability to translate business requirements into maintainable software and collaborate effectively with colleagues and clients.
Benefits
Compensation & Perks
- Salary: We will settle on the exact compensation amount based on prior experience and skills.
- Private health insurance & Life Insurance from day #1
- Health management scheme (weekly sessions &monthly challenges)
- 25 vacation days
- Team events tech oriented and more
- International network
- Lunch in the office & Go For Eat vouchers
- Employee referral programme/ bonus
Dedicated budget for:
- Employee education ~ 800€
- Hardware selection (MacBook or Lenovo ThinkPad) with your own mobile ~ 3000€