At the most senior levels, our engineers operate as the technical owners of F500 engagements, defining architecture, engaging with enterprise leaders, and leading technical teams to transform mission-critical workflows.

Responsibilities All AI Engineers at Distyl are expected to:

• 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.

At Higher Levels Of Experience, You Will Also

• 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.

Qualifications We believe great AI Engineers come from diverse backgrounds and are unified by deep curiosity, pragmatism, and engineering excellence. We’re excited to meet candidates with:

• 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 We Offer

• 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 in-office).