The Role
Design, implement and optimize Retrieval-Augmented Generation platforms, document ingestion, embeddings and vector search. Build agentic workflows with LangGraph, integrate LLM providers and cloud services, containerize and automate infrastructure, implement testing and validation for RAG systems, and develop REST APIs and data models.
Summary Generated by Built In
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
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 Required
- 3+ years of experience in Python development
- Strong proficiency in asynchronous programming (async/await, asyncio)
- Experience with type hints and static typing
- Experience with modern Python tooling: uv, Poetry
- Experience with code quality tools: Ruff, MyPy
- Experience with testing frameworks: pytest, pytest-asyncio
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The Company
What We Do
Synergeticon GmbH is a leading industrial partner specializing in artificial intelligence and digitalization solutions. Based in Hamburg, Germany, the company focuses on automating industrial processes, collaborative robotics, and the integration of AI to optimize production efficiency and cost. They provide expertise in data science and computer vision, specifically supporting the aviation manufacturing and operation sectors to enhance workforce support and process assistance.
