AI Engineer – New Graduate
Distyl AI
full-time
Posted on:
Location Type: Hybrid
Location: New York City • New York • United States
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Job Level
About the role
- Build LLM-Powered Systems
- 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.
- Learn Through Customer-Focused Work
- 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.
- Contribute to Our Platform
- Help improve Distillery, Distyl’s internal LLM application platform, by building reusable components, tools, and workflows.
- Learn best practices for scalable, maintainable AI infrastructure.
- Deliver Production-Quality Code
- 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.
- Evaluate and Improve AI Systems
- Assist with evaluating AI systems across accuracy, latency, cost, and robustness.
- Apply feedback from users and metrics to improve system performance.
- Grow as an Engineer
- 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.
Requirements
- 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
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonTypeScriptLLMsGenAIprompt designretrieval-augmented generationAI infrastructureproduction-quality codesoftware engineering fundamentalsend-to-end project development
Soft skills
collaborationcustomer-focused worktechnical decision-makingproblem-solvingfeedback incorporationmentorshipcommunicationiterative deliverysolution designlearning agility