Jobs · Engineering · California

AI Engineer

Coval · San Francisco, CA · 3 mo ago
On-siteEngineeringFull-time

About the role

This role is about building the AI systems that make Coval’s expertise accessible. You'll touch every part of our stack and decide where AI belongs and where it doesn't.

Responsibilities

  • Building the agentic form of Coval. Understanding what our product looks like when it's headless and developing the experiences that belong in the UI versus a Claude-powered interface versus embedded in a code repo.
  • Developing AI systems that are genuinely useful. Optimizing data retrieval, tool calling, and memory so our AI helps customers get real answers about their voice agents, fast.
  • Staying at the frontier of voice AI. Working with all the major labs and understanding what excellent voice architectures look like, which models to recommend for what, and how the space is shifting.
  • Teaching the team. Bringing others into a room to figure out how to use AI better, not just in the product but in internal workflows, tooling, and how the team operates.
  • Building the tooling that companies relying on our tools need. Being excited about voice AI specifically, or being ready to go deep on it.

Requirements

  • Deeply immersed in AI. Understanding how to build real systems on top of LLMs: prompt engineering, evaluation, tool calling, memory, retrieval.
  • Creative and curious. Seeing where AI should be and where it shouldn't in products.
  • High agency. Not waiting to be told what to build; looking at the company, the product, and the customers to see what needs to happen.
  • Built AI-powered features in production, not just prototypes. Knowing the difference between a cool demo and something customers depend on.

Qualifications

  • Experience with Python, building AI systems on top of LLM APIs with modern cloud infrastructure.
  • Experience working with TypeScript frontend when needed.
  • Strong intuitions about what SaaS of the future looks like.
  • Ability to move across the full stack when the problem demands it.

Skills

  • Expertise in AI and LLMs.
  • Experience building and deploying AI systems in production.
  • Strong problem-solving skills and ability to think creatively.
  • Experience with cloud infrastructure and modern development tools.

Benefits

  • Opportunity to work with cutting-edge voice AI technology.
  • Collaborate with a dynamic and innovative team.
  • Work on projects that have a significant impact on the industry.

Pay

Competitive salary commensurate with experience.

Schedule

Full-time, 40 hours per week.

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