Overview
As an AI Engineer, you will build backend services and intelligent agents leveraging LLMs to deliver practical, commercially valuable capabilities. You’ll collaborate with a Technical Architect to design robust, scalable workflows and integrate tools like Claude and ChatGPT into usable products. The role sits in a London-based, hybrid team focused on real-world AI applications that support climate, battery tech, and AI adoption challenges. You’ll work with a cross-functional, supportive team and benefit from flexible working and growth opportunities.
Pay / Benefits
- Salary to 65k
- Bonus
- EMI share options
- Pension
- Healthcare
- Training and career development opportunities
Responsibilities
- Develop backend code and APIs with emphasis on prompt engineering and LLMs
- Design and deploy intelligent agents that automate business processes
- Integrate AI tools into robust, producible workflows
- Collaborate with Technical Architect to deliver high-performing solutions
- Build and deploy end-to-end AI-enabled products
- Work with Claude and ChatGPT to optimize tool performance and integration
- Contribute to a startup-style environment with cross-functional teams
- Support CI/CD and cloud-based deployment practices
Key requirements
- Strong Python software engineering skills across the full development lifecycle
- Experience building AI agents or automating business processes using agentic technology
- Experience designing JSON-based REST APIs
- Keen to work in a startup environment
- Excellent communication and collaboration skills
- Technologist who keeps up with latest innovations and learns quickly
- Solid knowledge of software engineering principles, Agile, CI/CD
- Experience in cloud environments (AWS preferred)
- Experience interfacing with databases; Neo4J or other graph databases ideal
- Degree educated with a minimum 2.1 from a top-tier university
- communication
- collaboration
- problem solving
- Python
- REST APIs
- JSON
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