Position Summary

Adept thrives at the intersection of research and product. In this role, you will rapidly build new capabilities of our product leveraging a combination of in-house and external tooling, and help safely deploy applications built on top of large models at scale. You’ll collaborate closely with the product engineering, design, and product teams to build practical solutions that address real user needs.

The ideal candidate is a full-stack software engineer who has built and launched applications on top of LLMs, worked with a variety of common tools for LLM-enabled software, and is familiar with research in prompt engineering techniques. You are familiar with or even have contributed to open-source libraries related to LLMs and love a 0 to 1 challenge.

Qualifications

We deeply value software engineers who can engage with new problems and get things done at a startup, and our team members come from a variety of backgrounds and experiences. If you have some of these, you might be a good fit:

• 6+ years of experience as a software engineer, preferably building apps and interfaces
• Proficiency with Python and JavaScript
• Experience with frontend frameworks like React and REST APIs
• Experience building applications on top of LLMs, with a familiarity of tradeoffs across performance, latency, and ease of deployment
• Experience with LLM-enabled software tooling including frameworks such as LangChain and LlamaIndex, retrieval mechanisms like vector databases, caching solutions such as Redis, and monitoring tools
• Familiarity with techniques to maintain secure deployments that are robust to prompt injection and have safe outputs
• Bonus: Experience building LLM-powered agents capable of using APIs

The pay range for this position in California is $175,000 - $350,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience.