AI Engineer, Distyl
+ Equity
In-office Tuesday - Thursday
3 days a week in office
Generative AI solutions for enterprises
Be an early applicant
Generative AI solutions for enterprises
101-200 employees
Be an early applicant
+ Equity
In-office Tuesday - Thursday
3 days a week in office
101-200 employees
Company mission
To create the most customer-centric AI company that revolutionizes how enterprise thrive in the AI-assisted economy.
Role
Who you are
- 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
What the job involves
- We’re opening an office in London, UK and looking for AI Engineers to design and deploy production-grade AI systems powered by LLMs
- At Distyl, AI Engineers work directly with Fortune 500 companies to transform complex workflows using cutting-edge AI. You’ll build and ship real-world AI applications — from intelligent agents to full-stack AI products — and see them operate at scale in mission-critical environments
- This role is highly hands-on. You’ll collaborate closely with customers, define system architectures, and build reliable, high-impact AI systems from prototype to production. Engineers at Distyl also help shape technical direction across major customer engagements, guiding enterprise teams through AI adoption and deployment
- 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
Salary benchmarks
Our take
Distyl helps large enterprises adopt AI by providing tailored AI solutions. Its platform combines AI-native software with a top engineering team, enabling rapid implementation of AI across industries like healthcare, telecom and retail.
The company uses precision-engineered software and tools like Distillery to automate operations, transforming knowledge into AI processes. This results in faster decision-making and improved efficiency, allowing enterprises to stay competitive and optimise their operations.
With impressive funding secured, Distyl has quickly gained traction from Fortune 100 companies, delivering stunning outcomes like a 47% reduction in task resolution time. Having broken into Unicorn territory with a $1.7 billion valuation within two years of founding, the company is growing and expanding its customer base and product capabilities.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Sep 2025
$175m
LATE VC
Nov 2024
$20m
SERIES A
Total funding: $202m
Company benefits
- Equity options and healthcare
- Collaborative and supportive work environment
- Strong focus on personal and professional growth
Company HQ
SoMa, San Francisco, CA
Leadership
Arjun Prakash
(Co-Founder & CEO)Previously the Head of Solutions at Snorkel AI, a Business Development Head at Palantir Technologies and an Associate at BlackRock.
Derek Ho
(Co-Founder & COO)Previously the VP of Customers at Mendel.ai and also worked in Business Development at Palantir Technologies.
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