AIM Sport
Sports
AIBackendDeveloper
Neural analysis suggests this role is
optimal for experienced candidates.
“AI Backend Developer at AIM Sport. Skills: Python Backend, AI Integration, LLM Orchestration, RESTful APIs. Design intelligent backend services. Integrate AI and LLMs”
Industry & Context.
Problem-solver; Analytical mindset; Troubleshoot production issues; Root-cause analysis
What They're Looking For.
Must Have
2+ years Python Backend Developer, Python and backend frameworks, Integrating AI / LLM APIs, Prompt engineering, response validation, Pydantic and JSON Schema, RESTful API design, HTTP, SQL databases (PostgreSQL or MySQL), Data processing using Pandas, Async programming, background processing, Docker and cloud platforms, CI/CD pipelines, deployment strategies, Degree in Computer Science, Written and spoken English
Nice to Have
FastAPI / Flask / Django REST, LangChain, LlamaIndex, or similar, FAISS, Pinecone, Weaviate, or similar, AWS, GCP, or Azure, Monitoring tools
What You'll Do.
Design intelligent backend services
Integrate AI and LLMs
Develop Python-based REST APIs
Combine AI logic with rule-based workflows
Deliver scalable solutions
Build production-ready solutions
Develop and maintain Python backend services
Develop and maintain RESTful APIs
Build scalable server-side architectures
Build secure server-side architectures
Build high-performance server-side architectures
Integrate LLM and AI APIs
Integrate into backend workflows
Design prompt engineering strategies
Implement prompt engineering strategies
Design orchestration layers
Implement orchestration layers
Implement AI pipelines
Implement rule-based decision systems
Work with vector databases
Optimize database queries
Optimize caching layers
Optimize data pipelines
Support AI-driven features
Implement async processing
Implement background jobs
Implement task queues
Add logging for backend workflows
Add logging for AI workflows
Add monitoring for backend workflows
Add monitoring for AI workflows
Add error handling for backend workflows
Add error handling for AI workflows
Collaborate with product teams
Collaborate with frontend teams
Collaborate with QA teams
Deliver AI-enabled functionality
Troubleshoot production issues
Perform root-cause analysis
How You'll Work.
Team & Collaboration
Cross-functional teams; Product teams; Frontend teams; QA teams
Process & Methodology
Agile
Full Job Description
AI BACKEND DEVELOPER – MADRID We are looking for an AI Backend Developer with the drive and ability to be a key member of our young and versatile sports tech development team. We are a company that pioneers and develops new cutting-edge technologies – we would love for you to join our team and play your part in revolutionising the sports industry! WHO ARE WE? AIM Sport is at the forefront of the sports marketing industry. We currently work in over 500 football stadiums across the globe, providing fresh and innovative solutions to our fast-growing list of blue-chip clients. This elite portfolio includes the world’s biggest football clubs and commercial partners: FIFA, UEFA, Real Madrid CF, Paris Saint-Germain, Adidas, Audi, Heineken, Mastercard, and Sony to name just a few. We actively shape the digital revolution in sports marketing to drive the expansion and growth of our business as one of the top sports tech companies. WHAT WILL YOU BE DOING? You will design and build intelligent backend services that integrate AI and Large Language Models (LLMs) into our products. Your role focuses on developing Python-based REST APIs that combine AI-driven logic with deterministic, rule-based workflows to deliver scalable and production-ready solutions: • Design, develop, and maintain Python backend services and RESTful APIs (FastAPI / Flask / Django REST) • Build scalable, secure, and high-performance server-side architectures • Integrate LLM and AI APIs (OpenAI, Azure OpenAI, Anthropic, Gemini, etc.) into backend workflows • Design and implement prompt engineering strategies, orchestration layers, and AI pipelines • Validate and structure AI outputs using Pydantic, JSON schemas, and post-processing logic • Implement rule-based decision systems alongside AI-generated outputs • Work with embeddings and vector databases (FAISS, Pinecone, Weaviate, or similar) when required • Optimize database queries, caching layers, and data pipelines to support AI-driven features • Implement a
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