As a part of the Central AI-Core Studio & Delivery team,this role would require you to drive the design, build, and production deliveryof AI-enabled applications for our core business lines.
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 applications, applying agentic orchestration where needed.
- Evaluate AI models and retrieval approaches, defining evaluation criteria and iterating on production performance data.
- Own CI/CD pipelines, containerisation, observability, and secure cloud deployment, and document architectural decisions and trade-offs.
- Contribute reusable components and shared engineering standards to the AI platform.
- Work directly with business teams and AI PMs in a forward-deployed model, communicating progress and risks to technical and non-technical stakeholders.
About you
- At least 2 years of experience in software engineering, backend development, AI application development, or a related field, with a proven track record of delivering production-ready solutions.
- A track record of shipping production software that people rely on - applications you’ve built, debugged, and improved under real operating conditions.
- Strong Python proficiency, with experience in REST APIs, cloud deployment, and containerisation.
- Hands-on experience with LLM APIs (OpenAI, Anthropic, or equivalent) and retrieval/vector database systems.
- Solid understanding of software architecture, testing practices, and production operations.
- It will be advantageous if you have experience in agentic orchestration frameworks (LangChain, LangGraph, AutoGen) and frontend development with React and TypeScript.
- It will be advantageous if you are familiar with the Architecture, Engineering and Construction industry, infrastructure, or enterprise workflow domains, and AWS, Azure, or GCP environments.
We value equity, diversity and inclusion and are committedto creating a work environment where everyone feels a sense of belonging and isempowered to do their best. We recognise the importance of a diverse andinclusive workplace to drive innovation and shared learning across our growingglobal network.
Join us and be part of a culture where we rise together,deliver excellence, and expand what’s possible.