Senior AI Engineer (Computer Vision)
Indexed description
This is the job
We are looking for a Senior AI Engineer to join an innovative project focused on building intelligent systems that transform complex engineering documentation into structured knowledge and simulation-ready models.
The role involves working with LLMs, Knowledge Graphs, and Computer Vision, combining unstructured data (e.g., P&IDs, technical specifications) with real-time inputs to automate model generation and system understanding.
This is you
- Strong experience with Python, FastAPI, async programming, and Docker
- Hands-on experience with training object detection models like YOLO or Detectron2, including dataset annotation and end-to-end pipelines
- Understanding of shape and line detection for technical diagrams like P&IDs
- Strong experience with Knowledge Graphs using Neo4j or NetworkX, including graph traversal and transformation
- Strong experience with LangChain and LangGraph for multi-agent systems, self-healing mechanisms, and LLM-as-judge patterns
- Hands-on experience with LLMs like OpenAI, Anthropic, or Gemini
- Strong understanding of Agentic RAG, function calling, prompt design for code generation, and vector databases like Pinecone or Qdrant
- Ability to wrap third-party libraries as callable tools for LLM agents using Pydantic
- Ability to work independently in R&D environments with changing priorities and strong ownership mindset
- Train object detection models to extract shapes, lines, and symbols from P&IDs
- Construct Knowledge Graphs from detected elements and transform them into simulation-ready models
- Design multi-agent systems with LangGraph using supervisor/worker patterns, state management, and self-healing
- Build Agentic RAG pipelines for generating simulation code
- Wrap simulation libraries as callable tools for LLM agents with Pydantic validation
- Build FastAPI backends with async support and Docker
- Own end-to-end solutions from concept to working prototype in fast-paced R&D environment
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