Distyl · 2 days ago
AI Engineer (All Levels)
Distyl is a company that develops AI-native technologies for global enterprises, collaborating with Fortune 1000 companies to deliver impactful AI solutions. They are seeking AI Engineers at all experience levels to design, implement, and deploy production-grade AI systems, with responsibilities ranging from customer engagement to technical leadership in large-scale deployments.
Artificial Intelligence (AI)Generative AIInformation TechnologySoftware
Responsibilities
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
Qualification
Required
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
Preferred
For senior roles: strong architectural and systems design, experience leading projects, navigating and deploying into enterprise hybrid cloud environments and mentor others
Benefits
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.
Company
Distyl
Distyl AI partners with blue-chip leaders to help them create the enterprises of the future.
H1B Sponsorship
Distyl has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7)
Funding
Current Stage
Growth StageTotal Funding
$202MKey Investors
Lightspeed Venture Partners
2025-09-22Series B· $175M
2024-09-24Series A· $20M
2023-04-13Seed· $7M
Recent News
2025-10-27
Crunchbase News
2025-10-15
2025-10-02
Company data provided by crunchbase