AI Engineer

About the role

Join the Central AI-Core Studio & Delivery team to design, build, and deliver AI‑enabled applications that power our core business lines. You will work closely with business teams and AI product managers in a forward‑deployed model.

Key responsibilities

• Design and build end‑to‑end AI‑powered applications, including retrieval pipelines, LLM orchestration layers, backend APIs, and user‑facing interfaces.
• Own the full software development lifecycle from requirements and architecture through testing, deployment, and post‑launch iteration.
• Integrate LLM APIs, vector databases, and retrieval‑augmented generation into production, applying agentic orchestration where needed.
• Evaluate AI models and retrieval approaches, define evaluation criteria, and iterate based on production performance data.
• Maintain CI/CD pipelines, containerisation, observability, and secure cloud deployment, documenting architectural decisions and trade‑offs.
• Contribute reusable components and shared engineering standards to the AI platform.

Required profile

• Proven track record of shipping production software that users rely on.
• Strong Python proficiency with experience in REST APIs, cloud deployment, and containerisation.
• Hands‑on experience with LLM APIs (e.g., OpenAI, Anthropic) and retrieval/vector database systems.
• Solid understanding of software architecture, testing practices, and production operations.

Required skills

• Python
• REST APIs
• Cloud deployment (AWS, Azure, GCP)
• Containerisation (Docker, Kubernetes)
• LLM APIs (OpenAI, Anthropic)
• Vector/database retrieval systems
• Agentic orchestration frameworks (LangChain, LangGraph, AutoGen)
• Frontend development with React and TypeScript