AI Engineer; New Graduate

AI Engineer (New Graduate)

Distyl AI develops AI‑native technologies that enable humans and AI to collaboratively power operations across the Global Fortune 1000. In just 24 months, we’ve partnered with some of the world’s most iconic enterprises delivering AI deployments with $100M+ in impact.

Our platform, Distillery, combined with cross‑functional teams of AI Engineers, Researchers, and Strategists, is pioneering AI‑native systems of work that solve high‑stakes challenges at scale.

Distyl is founded and led by proven leaders from companies like Palantir, Apple, and national research labs, backed by Lightspeed, Khosla, Coatue, Nat Friedman, and board members from over 20 Fortune 500 companies.

We’re hiring early‑career / new‑graduate AI Engineers who are excited to build real‑world AI systems and grow quickly in a fast‑paced, customer‑facing environment. As a new grad at Distyl, you’ll be a hands‑on contributor from day one, working alongside experienced engineers to design, implement, and deploy production‑grade AI systems powered by Large Language Models (LLMs).

• Build LLM‑Powered Systems: design, implement, and deploy GenAI applications under the guidance of senior engineers; contribute to prompt design, agent logic, retrieval‑augmented generation (RAG), and model evaluation; help build full‑stack AI applications that deliver measurable business value.
• Learn Through Customer‑Focused Work: shadow technical conversations, translate business needs into system design, partner with senior engineers to understand customer problems, and iterate on delivery.
• Contribute to Our Platform: improve Distillery by building reusable components, tools, and workflows; learn best practices for scalable, maintainable AI infrastructure.
• Deliver Production‑Quality Code: write clean, well‑tested, observable code meeting reliability, performance, and security standards; monitor, debug, and improve production AI systems.
• Evaluate and Improve AI Systems: assess accuracy, latency, cost, and robustness; apply user and metric feedback to improve performance.
• Grow as an Engineer: develop skills in LLMs, software engineering, mentorship, code reviews, and deployment practices used in enterprise AI.

• A degree in Computer Science, Engineering, AI/ML, or a related field.
• Proficiency in Python or Type Script with strong software engineering fundamentals.
• Academic, internship, or project experience with LLMs or GenAI systems, including prompting, RAG pipelines, and simple AI agents or tool‑using systems.
• Familiarity with LLM tooling or frameworks (e.g., Lang Chain, Llama Index, Agents SDK) or strong interest in learning them.
• Experience building projects end‑to‑end (school projects, internships, hackathons, or open‑source).
• Comfort working in collaborative environments and learning from feedback; basic familiarity with cloud platforms (AWS, GCP, or Azure), Docker, or CI/CD is a plus.

• Ship production AI features used by real customers.
• Develop a strong foundation in LLM systems and AI engineering best practices.
• Own meaningful components of customer‑facing AI systems.
• Build confidence working across the full lifecycle of AI development from problem definition to deployment.
• Gain structured customer exposure, growing from shadowing to owning technical execution and customer conversations.
• Receive mentorship from experienced AI engineers through code reviews and design discussions.

• Competitive salary and meaningful equity.
• 100% covered medical, dental, and vision for employees and dependents.
• 401(k) with additional perks (commuter benefits, in‑office lunch).
• 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.

Offices in San Francisco and New York with hybrid collaboration (3+ days/week (Tuesday – Thursday) in‑office).

Compensation Range: $150K – $170K