Senior Python AI Engineer

About the role

Develop, integrate, and optimise AI/ML solutions for business use cases. Translate requirements into scalable AI applications (APIs, microservices) and work closely with Data Scientists, architects, and business/IT teams in an agile setup. Support production deployment and industrialization of AI models.

Key responsibilities

• Develop, integrate, and optimise AI/ML solutions for business use cases

• Translate requirements into scalable AI applications (APIs, microservices)

• Work closely with Data Scientists, architects, and business/IT teams in an agile setup

• Support production deployment and industrialization of AI models

• Use generative AI tools (e.g. Copilot, ChatGPT, Claude, Cursor) to accelerate development

• Break down complex problems into structured prompts and validate AI-generated code

• Build and maintain MLOps pipelines (training, versioning, monitoring)

• Ensure code quality through testing, validation, and performance optimisation

• Optimise applications for scalability, latency, and cost efficiency

• Contribute to technical documentation (code, APIs, models, reusable prompts)

About you

• 5+ years of experience in Python development with AI/ML focus

• Strong experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain)

• Hands-on experience with LLMs (fine-tuning, prompt engineering, RAG, agents)

• Experience using AI coding tools (Copilot, ChatGPT, Claude, Cursor) for development

• Strong knowledge of cloud platforms (AWS, Azure, or GCP)

• Experience with MLOps and CI/CD pipelines for AI solutions

• Good understanding of data engineering (data pipelines, preprocessing, feature engineering)

• Experience with databases (SQL, NoSQL, Vector DBs)

• API development experience (FastAPI, Flask, REST)

• Familiarity with Docker and Kubernetes