AI Engineer

About the company

Interested in building practical AI solutions that make a real difference? We’re keen to hear from engineers who enjoy experimenting with emerging technologies and turning them into useful, scalable products.

Your tasks

We’re looking for an AI Engineer to build and deliver AI-powered features for a large-scale enterprise SaaS platform. You’ll work closely with Product, Design and Engineering to turn ideas into reliable, production-ready solutions that improve the user experience.

This is a hands-on role for someone who enjoys experimenting with AI, building prototypes and taking them through to production.

Requirements

Key Responsibilities

• Build and deploy AI-powered features from prototype to production.
• Develop LLM integrations, agents, tool use and orchestration workflows.
• Build and maintain scalable backend services and APIs.
• Work with Product and Engineering to identify meaningful AI opportunities.
• Contribute to AI development practices, internal tooling and technical decisions.

• Hands-on experience building applications with LLMs, using tools such as OpenAI, Anthropic, LangChain or LlamaIndex.
• Strong backend development skills, ideally with TypeScript and Node.js.
• Full-stack experience, with some familiarity with React.
• Experience with REST APIs, asynchronous programming and databases.
• Understanding of software testing, deployment and production-ready development.
• A practical, hands-on approach to AI experimentation and AI-assisted coding.

Desirable Experience

• Model Context Protocol (MCP) and AI agents.
• AWS, particularly Lambda, SQS/SNS, Bedrock or S3.
• Vector databases, embeddings and retrieval-augmented generation (RAG).
• Prompt engineering and LLM evaluation.
• Docker, CI/CD and multi-tenant SaaS platforms.
• AI safety, governance and responsible AI practices.