AI Engineer (New Graduate)

Distyl is a company that develops AI-native technologies to enhance operations for major enterprises. They are seeking early-career AI Engineers to design, implement, and deploy AI systems while gaining exposure to customer-focused work and improving their technical skills in a collaborative environment. Responsibilities 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 Gain exposure to customer-facing work by initially shadowing technical conversations and learning how business needs are translated into system design, with opportunities over time to take on more responsibility in technical decision-making and implementation Partner with senior engineers to understand customer problems and translate requirements into technical solutions Participate in customer discussions, solution design sessions, and iterative delivery Help improve Distillery, Distyl’s internal LLM application platform, by building reusable components, tools, and workflows Learn best practices for scalable, maintainable AI infrastructure Write clean, well-tested, and observable code that meets reliability, performance, and security standards Learn how production AI systems are monitored, debugged, and improved over time Assist with evaluating AI systems across accuracy, latency, cost, and robustness Apply feedback from users and metrics to improve system performance Continuously develop your skills in LLMs, software engineering, and AI through mentorship, code reviews, and hands-on project work Learn modern development workflows and deployment practices used in enterprise AI Skills A degree in Computer Science, Engineering, AI/ML, or a related field Proficiency in Python or TypeScript, with strong software engineering fundamentals Academic, internship, or project experience with LLMs or GenAI systems, such as: Prompting and prompt experimentation, RAG pipelines, Simple AI agents or tool-using systems Familiarity with LLM tooling or frameworks (e.g., LangChain, LlamaIndex, Agents SDK, or similar), 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, but not required 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 Overview Distyl AI partners with blue-chip leaders to help them create the enterprises of the future. It was founded in 2022, and is headquartered in San Francisco, California, USA, with a workforce of 51-200 employees. Its website is Company H1B Sponsorship Distyl has a track record of offering H1B sponsorships, with 7 in 2025. Please note that this does not guarantee sponsorship for this specific role.