This is a remote position.
Responsibilities
- Design and implement LangChain and LangGraph based GenAI workflows
- Integrate LLMs with structured and unstructured sports analytics data
- Build Python services exposing GenAI capabilities via APIs or internal tools
- Develop prompt strategies and multi step reasoning chains
- Implement evaluation, validation, and output quality controls
- Collaborate closely with sports analysts and domain experts
- Support fast iteration cycles and production deployment of GenAI components
Requirements
- Strong hands on Python experience in backend or AI driven systems
- Commercial experience building LLM based or GenAI solutions
- Practical knowledge of LangChain and LangGraph
- Experience with FastAPI or Flask and REST API design
- Understanding of RAG architectures and vector search mechanisms
- Experience working with data heavy or analytical domains
- Strong communication skills and ability to work closely with non technical stakeholders
- Fluent English for professional collaboration
- Experience in sports analytics or performance modelling
- Familiarity with time series or event based data
- Exposure to evaluation frameworks for LLM outputs
- Experience working in fast paced, product driven environments
Benefits
- Solid, competitive salary
- Work in a multinational environment on international projects
- Comprehensive healthcare
- Long-term B2B contract with a stable project pipeline
- Remote work model
