AI/ML Developer developing RAG and AI agents for efficient production processes at Synergeticon GmbH. Collaborating on advanced AI models and automation tasks in a hybrid work environment.
Responsibilities
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
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
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