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AI Engineer

Distyl AI· Engineering
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Hybrid (London, UK)Full-timePosted 7mo ago

About the role

AI Engineer at Distyl AI focused on designing and deploying production-grade AI systems powered by LLMs, working directly with Fortune 500 customers to translate complex problems into scalable AI solutions.

Responsibilities

  • Build Production AI Systems: Design, develop, and deploy robust AI applications using LLMs, including prompt engineering, agent workflows, tool use, and full-stack AI products
  • Work Directly with Customers: Partner closely with enterprise stakeholders to understand complex problems and translate them into impactful AI solutions
  • Lead System Architecture: Design scalable architectures for production AI systems, balancing performance, reliability, cost, and maintainability
  • Develop Our Internal Platform: Contribute to Distillery, our internal LLM application platform, by building reusable infrastructure, tools, and workflows used across customer deployments
  • Evaluate AI Systems Rigorously: Develop evaluation frameworks that measure model performance across accuracy, latency, cost, reliability, and safety
  • Ship Production-Grade Systems: Ensure systems meet high standards for observability, reliability, security, and maintainability
  • Raise the Engineering Bar: Improve development workflows, evaluation practices, and deployment strategies as our AI platform continues to evolve

Qualifications

  • 3+ 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

Skills

Required:PythonTypeScriptLLM-powered applicationsLangChain / LlamaIndex / Guardrails / MCPRAG pipelinesSystem observability and debuggingDevOps for production systems
Nice to have:Cloud platformsAgent architecturesResponsible AI

Benefits

  • Competitive salary, meaningful equity, and a comprehensive benefits package
  • Workplace Pension Scheme with employer contributions
  • Private Medical Insurance (PMI) offered
  • Flexible Time Off + Holidays
  • Lunch provided on office days
  • Access to state-of-the-art models, generous usage of modern AI tools, and real-world business problems
  • Ownership of high-impact projects across top enterprises
  • A mission-driven, fast-moving culture that prizes curiosity, pragmatism, and excellence
Last updated Jul 29, 2026. Interested? Apply on the company site.

About Distyl AI

Rearchitecting Entire Industries For Frontier Technologies

Building AI solutions that power F500 big bets and create a competitive edge.

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