AI Engineer

Develop, optimise, deploy and maintain end-to-end AI/ML pipelines, from training and packaging through monitoring and lifecycle management. Develop, test, document, refactor and maintain AI/ML components, programs and scripts. Apply machine learning and data science to new datasets; evaluate model performance, data quality and outcomes. Troubleshoot and improve ML models, pipelines, datasets and AI development processes. Build and maintain data pipelines, including ETL/ELT.

Develop AI modules and integrate them into builds, validating functionality, security, quality and performance. Support the full AI/software engineering lifecycle, including requirements, automation, testing, release, deployment and monitoring. Implement secure and maintainable engineering practices, including MLOps/AIOps, CI/CD and automation. Monitor AI technologies and contribute to technology assessments, roadmaps and knowledge sharing. Report progress, risks and blockers and collaborate with technical teams.

Key Requirements: Strong hands-on experience in Python, machine learning, software engineering and applied AI. Strong understanding of ML concepts, model evaluation, performance measurement and model improvement. Practical experience with LLMs, foundation models, Generative AI and pre-trained models. Strong experience with RAG, embeddings, vector databases and AI application architectures. Experience building production-grade AI agent backends, using LangChain, LlamaIndex, Pydantic AI or similar.

Strong MLOps/AIOps experience, including Git/version control, CI/CD, automation and model/experiment lifecycle management. Experience developing REST APIs and backend services, particularly Python with FastAPI/Pydantic. Experience with Docker, Kubernetes, Helm, cloud infrastructure and orchestration tools such as Airflow or Argo. Experience with LLM guardrails, observability, logging and monitoring. Experience with SQL and NoSQL databases.

Desirable: TypeScript, Node.js, Next.js/frontend frameworks. Experience working in secure, restricted or air-gapped environments is highly relevant.