- Location
- Germany
- Workplace
- Hybrid
- Type
- full-time
- Department
- IT
- Seniority
- Mid
- Experience
- 3+ years
- Industry
- Technology
- Category
- Engineering
- Role type
- Individual Contributor
- Environment
- Office
- Source
- JOIN
Overview
As an AI/ML Developer for RAG and AI agents, you'll develop and enhance Retrieval-Augmented Generation platforms and AI agent workflows. Your responsibilities include designing RAG architectures, developing document ingestion pipelines, implementing embedding mechanisms, and optimizing LLM workflows. You'll work on agentic workflows using LangGraph, design AI-powered coding agents, and implement tool usage mechanisms. The role also involves knowledge graph development with Neo4j, cloud integration with AWS services, and infrastructure automation with Docker and Terraform. You'll need 3+ years of Python development experience, proficiency in asynchronous programming, and experience with modern Python tooling including package management and testing frameworks.
Description
We are Synergeticon, a fast-growing company in the field of digitalization and automation. We research the latest technologies to make production and maintenance processes even more efficient. In doing so, we place particular focus on the collaboration between humans and machines.
Our talented and motivated team forms the basis for our success. We constantly face new challenges and are now looking for you to support us as a AI/ML Developer for RAG and AI agents.
Now you have the chance to take responsibility and actively contribute your ideas! Sounds interesting?
Then get in touch with us. We look forward to you!
And if you have any questions, please do not hesitate to contact us.
## Aufgaben
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
AI Agents & Automation
- 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
Knowledge Graph & Advanced AI (Future Scope)
- Design and implementation of knowledge graph structures (Neo4j)
- Entity and relationship extraction from documents
- Implementation of hybrid search architectures (vector search + graph traversal)
Cloud & Infrastructure
- Integration of LLM providers (OpenAI, Anthropic, AWS Bedrock, Ollama)
- Use of AWS services (S3, Lambda, Bedrock)
- Containerization using Docker
- Infrastructure automation with Terraform
Quality Assurance & Testing
- Implementation of integration tests for AI systems
- Evaluation of RAG systems (relevance, faithfulness)
- Data model validation using Pydantic
- Development of REST APIs with FastAPI
## Qualifikation
Technical Requirements (Must-Have)
- 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
Skills
About Synergeticon GmbH
Synergeticon is a fast-growing company in digitalization and automation, focusing on making aviation manufacturing and maintenance processes more efficient through robotics, workflow assistance, and data analytics.
