[Remote] GenAI Developer – Sports Analytics and Performance Intelligence
Salário Estimado
R$ 7.722,00 - R$ 11.583,00
Tecnologias
Excelente
Score da Vaga
Descrição da Vaga
Note: The job is a remote job and is open to candidates in USA.
Madiff is seeking a GenAI Developer to join their next generation sports analytics and performance intelligence platform supporting professional basketball organizations.
The role involves building agent-based GenAI systems to transform complex performance data into actionable insights for analysts and coaches.
Responsibilities • Design and implement LangChain and LangGraph based GenAI workflows
It was founded in 2015, and is headquartered in Warszawa, Mazowieckie, POL, with a workforce of 51-200 employees.
Its website is https://madiff.eu .
Requisitos
- 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
Responsabilidades
- The role involves building agent-based GenAI systems to transform complex performance data into actionable insights for analysts and coaches
- 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
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