AI Engineer, Distyl
+ Equity
Generative AI solutions for enterprises
Open for applications
Generative AI solutions for enterprises
101-200 employees
Open for applications
+ Equity
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
- Proficiency in Python or Typescript (experience with a diverse set of languages is a plus), with hands-on experience using LLM tooling such as LangChain, LlamaIndex, Guardrails, MCP and Agents SDK
- Experience building and deploying LLM-powered AI agents in production, including tool use, prompt orchestration, RAG, and long-horizon task execution
- Deep understanding of agent design patterns, with practical experience in observability, debugging, and human-in-the-loop feedback systems
- Skilled at solving complex, ambiguous problems using cutting-edge AI techniques to deliver meaningful business outcomes
- Familiar with responsible AI practices (e.g., auditability, interpretability), and experienced in aligning AI systems with enterprise-grade requirements
- Comfortable working across cloud environments (AWS, GCP, Azure) with modern DevOps tools (Docker, CI/CD), and collaborating closely with cross-functional teams
- For senior roles: strong architectural and systems design, experience leading projects, navigating and deploying into enterprise hybrid cloud environments and mentor others
What the job involves
- We’re hiring AI Engineers at all levels of experience, from early-career builders to senior engineers who can lead large-scale deployments and shape our customers' technical roadmap
- Regardless of seniority, every AI Engineer at Distyl is a hands-on contributor responsible for designing, implementing, and deploying production-grade AI systems using Large Language Models (LLMs)
- Design and Deploy LLM-Powered Systems: Build and deploy robust GenAI systems that deliver measurable business value. Includes model evaluation, prompt design, agent/agentic logic, and full-stack application development
- Engage Deeply with Customers: Work directly with customer stakeholders to understand their most pressing business and technical needs, and turn those into tailored, high-impact AI solutions
- Build and Improve Our Platform: Contribute to the development of Distillery, our internal LLM application platform, by developing reusable tools, infrastructure, and workflows that scale across customers
- Deliver Production Quality: Ensure systems are observable, maintainable, and meet rigorous reliability, performance, and security standards
- Evaluate AI Systems Scientifically: Lead evaluation efforts balancing accuracy, latency, explainability, cost, and robustness
- Continuously Improve: Refine development workflows, platform architecture, and deployment practices to raise the engineering bar
- Set technical direction and architecture for multi-million-dollar customer engagements
- Earn executive trust and guide enterprise engineers through rollout and long-term operations
- Mentor and up-level Distyl engineers via design reviews, architectural design reviews, leading by doing, and targeted coaching
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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