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Mintlify is a documentation platform serving 100+ million developers annually and powering docs for 20,000+ companies including Anthropic, Microsoft, PayPal, Spotify, and Coinbase. The company recently raised $45M Series B led by A16Z and Salesforce Ventures and is now 65 employees.
You'll take ownership of complex AI products from early experimentation through production, combining full-stack engineering with applied AI expertise to build agents that solve real customer problems. This is a product-minded engineering role where you'll define technical direction, establish agent performance evaluation frameworks, and raise the quality of both AI products and engineering practices.
Key responsibilities include:
- Architecting and shipping customer-facing AI experiences, from agent orchestration and tool use to interfaces and backend systems
- Developing reliable agent loops that reason over complex context, call tools, recover from failures, and complete long-running tasks
- Defining evaluation frameworks, building feedback loops, analyzing failures, and systematically improving prompts, context, models, tools, and product flows
- Making thoughtful architectural decisions around latency, cost, observability, and user experience to operate AI systems reliably at scale
- Shaping product direction and engineering approaches across the stack
The engineering team values craft, speed, and thoughtful execution. You'll have high agency as a product builder, drive strategic decisions, enjoy heads-down builder time on a small team, and see immediate impact from your work. The company emphasizes learning velocity, grit, and unique personalities.
Benefits include competitive compensation and equity, 20 days PTO, 401k/RRSP, $420/month wellness stipend, 100% health/dental/vision coverage, free Ubers to/from work, free meals, and annual team offsites.
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
- Demonstrated ability to lead complex projects from experimentation through production and thrive when defining solutions rather than following specs
- Strong product intuition and care about the "why" as much as the "how" when building user-facing software
- Willingness to talk directly with customers and use insights to shape product direction
- Experience mentoring other engineers, sharing technical knowledge, and helping teammates grow
