About DevRob
DevRob is an AI and robotics startup developing cutting-edge software for planning and optimizing production lines for large manufacturing companies. We combine advanced robotics simulation, GPU-accelerated motion planning, and AI-driven automation to help manufacturers design, validate, and deploy efficient production lines.
The Role
We're hiring a senior engineer to own and evolve our AI agent architecture. You'll be building intelligent automation pipelines using LangGraph that power our production line planning platform bridging the gap between AI reasoning and real-world robotic execution.
What You'll Do
- Design, develop, and optimize LangGraph-based AI agent pipelines for manufacturing automation planning
- Build multi-agent systems that orchestrate complex robotics workflows
- Integrate LLM capabilities with our simulation and motion planning infrastructure
- Implement MCP (Model Context Protocol) servers and tool integrations
- Develop evaluation frameworks and testing strategies for AI agent performance
- Collaborate with robotics engineers to translate AI outputs into executable robot code
- Contribute to architecture decisions and help scale our AI infrastructure
Requirements
- 6+ years building production software, with 2+ years focused on LLM-based systems
- Hands-on experience with LangGraph or similar agent orchestration frameworks (LangChain, AutoGen, CrewAI)
- Deep experience with agent orchestration (LangGraph strongly preferred; LangChain, AutoGen, or similar)
- Strong intuition for LLM integration patterns: structured outputs, tool use, retrieval, prompt engineering, and managing non-determinism
- Track record of owning systems end-to-endfrom design through production reliability
- Fluency in Python and async patterns; experience with FastAPI or equivalent
- Familiarity with FastAPI or similar modern Python web frameworks
- Solid understanding of software architecture patterns for AI systems
- Experience with PostgreSQL or similar relational databases
- Ability to write clean, testable, and well-documented code
- Strong problem-solving skills and ability to work independently
- Excellent communication skills in English
Nice to have:
- Experience with NVIDIA technologies (Isaac Sim, Omniverse, CUDA)
- Background in robotics, motion planning, or industrial automation
- Familiarity with MCP (Model Context Protocol) and tool/server development
- Experience with graph-based workflows and state machine design
- Knowledge of cloud deployment (AWS, Railway, Vercel)
- Experience with WebRTC or real-time streaming technologies
