2 months ago
London, United KingdomSenior
Responsibilities
- Design, build, and deploy production-grade software integrating AI to solve complex user problems.
- Research and evaluate RAG, agentic workflows, evaluations, fine-tuning, and LLM orchestration patterns and apply them to the product.
- Collaborate with Product Managers, engineers, and domain experts to translate requirements into technical solutions.
- Mentor and upskill engineers on AI technologies and best practices.
- Embed agentic engineering tools and practices into the team's workflow.
- Write clean, maintainable, and efficient TypeScript and/or Python code.
- Ensure the reliability and scalability of AI-powered production features.
- Stay current with AI developments and help shape the team's technical direction.
Requirements
- At least 3 years of professional experience developing products involving AI or LLMs.
- Proven experience deploying AI in a production software environment.
- Deep understanding of RAG, prompt engineering, fine-tuning, evaluations, and LLM orchestration.
- Strong generalist software engineering background with proficiency in TypeScript and/or Python.
- Ability to research complex technical topics and apply findings to practical, production-ready solutions.
- Experience mentoring or teaching others in a technical capacity.
- Must be able to obtain and maintain security vetting to at least SC level.
- Experience with C++ or Rust is helpful.
- Familiarity with the defence sector, Military Modelling and Simulation, or command-and-control systems is helpful.
- Willingness to travel for customer deployments, hackathons, and industry events is helpful.
Benefits
- Hybrid working with at least 1 day per week in the Shoreditch, London office.
- Private health insurance.
- Enhanced pension scheme.
- Enhanced parental leave.
- Three additional days off at Christmas, in addition to the standard 25 days.
- Learning and development budget.
- Regularly scheduled socials.
- Share options.
Tech Stack
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