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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