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Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Benefits
Comp & perks- Health insurance
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonComputer VisionAI systemsagentic AI workflowsLLM frameworksRAG pipelinesvector databasesFastAPIAPIsbackend services
Soft Skills
collaborationindependenceownership mindsetproblem-solvingadaptability