D

AI Engineer

DRH Search
Full-time
Remote
United States
 We're assisting a well-funded, fast-growing startup with their search for an AI Engineer.  Their product simplifies the immigration process through AI-powered automation software.  They are open to remote candidates, as long as they can work Pacific time zone hours.  For local candidates the role can work a hybrid schedule from their Palo Alto office if they would like.
 
What you'll do:
  • Work closely with the founding team and early customers to build and ship AI-native products.

  • Translate complex AI research into actionable solutions that deliver measurable business value. Ensure that AI initiatives are aligned with business objectives and deliver impactful results.

  • Design & implement LLM-powered products, such as prompting, agents, experimentation, LLM Ops, measuring quality & performance.

  • Evaluate and productize various types of LLMs for our product use cases

  • Research and stay current with the latest news, tooling, and techniques in NLP such as advanced prompting & chaining, function calling, embeddings, evaluations, building agents, distilling reasoning, etc.

  • Own your work end-to-end and integrate the research into our product

What you'll bring:
  • MS/Phd in Computer Science, Artificial Intelligence, Machine Learning, or related fields.

  • 2+ years of professional experience in LLMs with a proven track record of leading successful AI projects.

  • Strong background in applied AI/ML research and development, with publications in top-tier conferences and journals.

  • Strong strategic thinking and problem-solving abilities, with a focus on practical application and business impact.

  • Experience building and shipping applications built on top of LLMs into production and evaluating & improving performance over time after deployment.

  • Experience with LLM Ops & tooling (e.g. vector databases, prompt ops).

  • Well-developed sense through experience of what works and doesn’t work when building applications on top of LLMs.

Nice to haves:
  • Experience working in a small startup environment (Seed or Series A).