Senior Applied AI Engineer

MintlifySan Francisco, CA
$190,000 - $265,000

About The Position

We’re looking for product-minded engineers to build the AI experiences behind Mintlify. You’ll combine strong full-stack engineering with applied AI expertise to create agents that reliably solve real customer problems. As a Senior Applied AI Engineer, you’ll take ownership of complex AI products from early experimentation through production. You’ll help define technical direction, establish how we evaluate and improve agent performance, and raise the quality of both our AI products and engineering practices.

Requirements

  • At least 4 years of professional software development experience
  • Deep experience building production systems with language models, including agent loops, tool use, retrieval, prompting, and structured outputs
  • Comfortable owning production software across frontend, backend, APIs, databases, and infrastructure
  • Led complex projects from experimentation through production and thrive when defining solutions rather than following a spec
  • Strong product intuition and care about the “why” as much as the “how” when building user-facing software
  • Eager to talk directly with customers and use those insights to shape what we build
  • Experience mentoring other engineers, sharing technical knowledge, and helping teammates grow

Responsibilities

  • Leading AI products end to end: Architecting and shipping customer-facing AI experiences, from agent orchestration and tool use to the interfaces and backend systems that support them
  • Building reliable agent systems: Developing agent loops that reason over complex context, call tools, recover from failures, and complete long-running tasks
  • Driving evaluation and iteration: Defining evals, build feedback loops, analyze failures, and systematically hill-climb on prompts, context, models, tools, and product flows
  • Turning prototypes into products: Making thoughtful decisions about architecture, latency, cost, observability, and user experience to operate AI systems reliably at scale
  • Shaping product direction and engineering approaches across the stack

Benefits

  • Competitive compensation and equity
  • 20 days paid time off every year
  • 401k or RRSP
  • $420/month wellness stipend
  • 100% coverage for Health, dental, vision
  • Free Ubers to and from work
  • Free lunch and dinners
  • Annual team offsite (previously went to Alaska, Hawaii)
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service