Senior AI Engineer (Computer Vision)

TL;DR

Senior AI Engineer (Computer Vision): Building intelligent systems that transform complex engineering documentation into structured knowledge and simulation-ready models with an accent on LLMs, Knowledge Graphs, and Computer Vision. Focus on training object detection models for P&IDs, constructing and transforming Knowledge Graphs, designing multi-agent systems with LangGraph, and building Agentic RAG pipelines for simulation code generation.

Location: Multiple locations

Company

Global provider of business and tech advisory, enterprise solutions, CX/UX/UI design, managed services, product development, and software development operating with 6000+ specialists.

What you will do

• Train object detection models to extract shapes, lines, and symbols from technical diagrams like P&IDs
• Construct Knowledge Graphs from detected elements and transform them into simulation-ready models
• Design multi-agent systems using LangGraph with 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
• Develop FastAPI backends with async support and Docker deployment
• Own end-to-end solutions from concept to prototype in fast-paced R&D environment

Requirements

• Strong experience with Python, FastAPI, async programming, and Docker
• Hands-on with training object detection models like YOLO or Detectron2, including dataset annotation and pipelines
• Understanding of shape and line detection for technical diagrams like P&IDs
• Strong experience with Knowledge Graphs using Neo4j or NetworkX, graph traversal, and transformation
• Strong experience with LangChain and LangGraph for multi-agent systems, self-healing, and LLM-as-judge
• Hands-on with LLMs like OpenAI, Anthropic, or Gemini
• Strong understanding of Agentic RAG, function calling, prompt design for code generation, vector databases like Pinecone or Qdrant
• Ability to wrap third-party libraries as tools for LLM agents using Pydantic
• Ability to work independently in R&D with changing priorities and ownership mindset

Culture & Benefits

• Equal opportunities in recruitment, career development, and leadership regardless of background
• Diverse community shaping company growth
• Workplace where everyone feels free to be themselves while respecting boundaries

Hiring process

• Application review and Talent Acquisition interview to discuss goals and company offerings
• Technical interview focusing on expertise, problem-solving, and thinking process
• Optional customer interview for alignment
• Job offer if mutual fit, with feedback always provided