AI Engineer developing AI powered features for customer experiences. Collaborating on design, engineering, and integration of large language models in scalable systems.
Responsibilities
AI Feature Design & Delivery – Design, build and run AI powered features using large language models.
LLM Integration & System Architecture – Integrate LLMs into existing applications and services.
Prompt Engineering & Model Optimisation – Develop, test and refine prompt strategies to improve model accuracy.
Hands-On Engineering – Build and maintain backend services and APIs using TypeScript and modern frameworks.
Cross-Functional Collaboration – Work closely with product, data and design partners.
Evaluation & Monitoring – Define and implement evaluation approaches for LLM based systems.
Scalable AI Patterns – Contribute to shared approaches, architectural patterns and standards for building AI driven features.
Risk, Privacy & Cost Awareness – Make informed engineering decisions that consider data privacy and model risk.
Continuous Learning & Innovation – Stay current with emerging AI technologies.
Requirements
A strong foundation in software engineering, with hands-on experience building, shipping and operating scalable, production-grade systems.
Proven experience working with modern JavaScript and TypeScript stacks, including Node.js.
Practical experience integrating large language models into real applications, using APIs such as OpenAI, Anthropic or similar.
Confidence designing and working with APIs and backend services.
Familiarity with cloud-native environments and production tooling, including containerisation, monitoring and deployment practices, ideally within AWS-based ecosystems.
Experience working with data stores such as PostgreSQL, MongoDB and or vector databases.
The ability to reason about cost, latency, privacy and risk when designing AI powered systems.
Strong problem solving skills and attention to detail.
The ability to communicate complex technical concepts clearly and simply to a range of audiences.
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