We're looking for software engineers who are already using AI as part of the way they work and want to take that to the next level.
In this role, you'll be building and shipping real software for enterprise clients, working across the stack and integrating AI into production applications.
You'll work with technologies such as Python, Java, TypeScript, LLM APIs, cloud platforms and agentic AI, while being part of projects across different industries and technology environments.
What you'll be doing Build and deploy production-grade software across the full stack
Use AI coding tools as part of your everyday development workflow
Integrate LLM APIs into real applications
Work with APIs, databases, cloud platforms and CI/CD
Build the application layers that connect software with AI and agentic systems
Use AI to support coding, testing, debugging and code reviews
Make sure AI-generated code and outputs are reliable, secure and production-ready
Work closely with client engineering teams in Agile environments
Take ownership of your work from design and development through to production




Contribute to reusable components, internal tooling and engineering best practices
What we're looking for
Strong software engineering fundamentals
Good knowledge of Python, Java or TypeScript
Practical experience using AI tools in your day‐to‐day engineering work (Claude, ChatGPT)
Experience working with LLM APIs and an understanding of tokens, latency and cost
Familiarity with AWS, Azure or GCP, Docker and CI/CD
Experience with SQL or NoSQL databases
Understanding of Agile ways of working
Ability to review and validate AI-generated code and outputs
Some understanding of RAG, agentic AI and frameworks such as LangChain or LangGraph
You won't be working on just one product or one technology stack.
You'll get the opportunity to work across different industries, clients and enterprise environments, while developing your skills in AI‐native software engineering and agentic AI.
There are also oppo

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