AI Engineer, UK
London, UK • Full-time
Posted 2d ago
Job Location
London, UK
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Engineer
About the job
Distyl AI is seeking AI Engineers to join their new London office. In this role, you will work directly with Fortune 500 companies to transform complex workflows using cutting-edge AI, building and shipping real-world AI applications from intelligent agents to full-stack AI products. This is a highly hands-on position where you will collaborate closely with customers, define system architectures, and build reliable, high-impact AI systems from prototype to production. You will also contribute to shaping technical direction and guiding enterprise teams through AI adoption and deployment.
Responsibilities
- Design, develop, and deploy robust AI applications using LLMs, including prompt engineering, agent workflows, and tool use.
- Partner closely with enterprise stakeholders to understand complex problems and translate them into impactful AI solutions.
- Design scalable architectures for production AI systems, balancing performance, reliability, cost, and maintainability.
- Contribute to the internal LLM application platform by building reusable infrastructure, tools, and workflows.
- Develop evaluation frameworks to measure AI system performance across accuracy, latency, cost, reliability, and safety.
- Ensure systems meet high standards for observability, reliability, security, and maintainability.
- Improve development workflows, evaluation practices, and deployment strategies.
Requirements
- 8+ years of professional software engineering experience.
- Strong proficiency in Python or TypeScript.
- Experience building and deploying LLM-powered applications or AI agents in production.
- Experience with modern LLM tooling such as LangChain, LlamaIndex, Guardrails, MCP, or agent frameworks.
- Experience implementing RAG pipelines, tool use, or multi-step AI workflows.
- Strong understanding of AI system evaluation, debugging, and observability.
- Experience building reliable production systems with modern DevOps practices.
- Experience deploying AI systems in enterprise environments is a plus.
- Experience working across cloud platforms (AWS, GCP, or Azure) is a plus.
- Experience with agent architectures and long-horizon task execution is a plus.
- Familiarity with responsible AI practices, including auditability and governance is a plus.
Benefits
- Competitive salary
- Meaningful equity
- Comprehensive benefits package
- Workplace Pension Scheme with employer contributions
- Private Medical Insurance (PMI)
- Flexible Time Off + Holidays
- Lunch provided on office days
- Access to state-of-the-art models
- Generous usage of modern AI tools
- Ownership of high-impact projects