Key skills
PythonRAIMLComputer VisionLLMRAGLangChainAgenticLangGraphFastAPI
About this role
Role Overview
- Build and improve agentic AI workflows for processing technical engineering documentation
- Develop Computer Vision pipelines for diagram and symbol detection
- Design and maintain Knowledge Graph structures representing system components and relationships
- Develop multi-agent orchestration pipelines using modern LLM frameworks
- Integrate retrieval, reasoning, and tool-calling capabilities into AI systems
- Build APIs and backend services supporting AI workflows and experimentation
- Collaborate closely with engineers and researchers in a fast-paced R&D environment
Requirements
- Strong commercial experience with Python and modern AI/ML ecosystems
- Hands-on experience building agentic AI systems using frameworks such as LangGraph or LangChain
- Experience working with LLMs, RAG pipelines, vector databases, and tool-calling architectures
- Practical experience training or fine-tuning Computer Vision models (e.g. object detection, diagram/document understanding)
- Experience building APIs and backend services using FastAPI or similar frameworks
- Comfortable working independently in R&D/prototype-driven environments with rapidly evolving requirements
- Strong ownership mindset and ability to take solutions from idea to working prototype
Tech Stack
- Python
Benefits
- Health insurance
- Professional development opportunities