AI/ML Developer, RAG, AI Agents
Synergeticon GmbH
full-time
Posted on:
Location Type: Hybrid
Location: Hamburg • Germany
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About the role
- Development & Enhancement of the RAG Platform
- Design and implementation of Retrieval-Augmented Generation (RAG) architectures
- Development of document ingestion pipelines (PDF parsing, chunking, metadata processing)
- Implementation of embedding and vector search mechanisms
- Optimization of prompt strategies and LLM workflows
- Development of agentic workflows using LangGraph
- Design and integration of AI-powered coding agents
- Implementation of tool usage mechanisms and function calling
- Automation of code generation processes
- Design and implementation of knowledge graph structures (Neo4j)
- Entity and relationship extraction from documents
- Implementation of hybrid search architectures (vector search + graph traversal)
- Integration of LLM providers (OpenAI, Anthropic, AWS Bedrock, Ollama)
- Use of AWS services (S3, Lambda, Bedrock)
- Containerization using Docker
- Infrastructure automation with Terraform
- Implementation of integration tests for AI systems
- Evaluation of RAG systems (relevance, faithfulness)
- Data model validation using Pydantic
- Development of REST APIs with FastAPI
Requirements
- 3+ years of experience in Python development
- Strong proficiency in asynchronous programming (async/await, asyncio)
- Experience with type hints and static typing
- Solid experience with modern Python tooling, including: Package management: uv, Poetry
- Code quality tools: Ruff, MyPy
- Testing frameworks: pytest, pytest-asyncio
Benefits
- Flexible work arrangements
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythonasynchronous programmingPDF parsingmetadata processingembedding mechanismsvector searchknowledge graph structuresREST APIstype hintsstatic typing