> Markdown version of [/jobs/ext/2137541-ai-backend-developer](https://www.wearedevelopers.com/jobs/ext/2137541-ai-backend-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Backend Developer - **Company:** Aim Sport - **Location:** Málaga, Spain - **Salary:** €28,000.0 - €35,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, User Authentication, Microsoft Azure, Database Queries, Django Web Framework, Monitoring of Systems, Hypertext Transfer Protocols (HTTP), JSON, Python (Programming Language), PostgreSQL, MySQL, NumPy, SQL Databases, Systems Integration, Data Logging, Data Processing, Flask (Web Framework), Delivery Pipeline, Large Language Models, Prompt Engineering, Backend, Fastapi, Pandas, Information Technology, Deployment Automation, Machine Learning Operations, Front End Software Development, Restful APIs, Data Pipelines, Automation Anywhere, Docker - **Published:** August 19, 2026 - **Apply:** https://www.adzuna.es/contact-us.html ## About the Role 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!, * 2+ years of experience as a Python Backend Developer or similar role * Strong proficiency in Python and backend frameworks (FastAPI, Flask, Django REST Framework) * Hands-on experience integrating AI / LLM APIs into production systems * Practical experience with LangChain, LlamaIndex, or similar LLM orchestration frameworks * Solid understanding of prompt engineering, response validation, and AI guardrails * Experience handling structured AI outputs using Pydantic and JSON Schema * Strong knowledge of RESTful API design, HTTP, authentication, and authorisation * Solid understanding of SQL databases (PostgreSQL or MySQL) * Data processing experience using Pandas, NumPy, or similar libraries * Familiarity with async programming, background processing, and task queues * Experience with Docker and cloud platforms (AWS, GCP, or Azure) * Knowledge of CI/CD pipelines, deployment strategies, and monitoring tools * Degree in Computer Science, Engineering, or a related field (or equivalent experience) * Good command of written and spoken English PERSONALITY: * Passionate about backend engineering and applied AI systems * Curious about LLMs, automation, and emerging AI technologies * Strong problem-solver with an analytical mindset * Quality-focused and attentive to edge cases and failures * Comfortable working in cross-functional teams * Proactive, adaptable, and eager to continuously learn and improve ## Description 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 async processing, background jobs, and task queues for long-running AI tasks * Add logging, monitoring, and error handling for backend and AI workflows * Collaborate with product, frontend, and QA teams to deliver AI-enabled functionality * Troubleshoot production issues and perform root-cause analysis ## Related Videos - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Vectorize all the things! 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