AI Engineer (New Graduate)

Distyl is an AI technology company focused on developing AI-native systems for Fortune 1000 companies. They are seeking early-career AI Engineers to design, implement, and deploy AI systems while gaining exposure to customer-facing work and technical decision-making.

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
• Experience building projects end-to-end (school projects, internships, hackathons, or open-source)
• Comfort working in collaborative environments and learning from feedback
• Familiarity with LLM tooling or frameworks (e.g., LangChain, LlamaIndex, Agents SDK, or similar), or strong interest in learning them
• 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

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