Live opening · Posted 22 hours ago

Senior Applied AI Engineer

Mintlify · San Francisco
Ycombinator No 5+ years
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At a glance

The key details from the original listing.

Posted 22 hours ago
CompanyMintlify
LocationSan Francisco
Experience5+ years
Salary$190K - $265K
Work modeNo
SourceYcombinator
Listed22 hours ago

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About the role

Description supplied by the original job listing.

Why Mintlify?
We're on a mission to empower builders.
Massive reach: Our docs platform serves 100 million+ developers every year and powers documentation for 20,000+ companies, including Anthropic, Microsoft, PayPal, Spotify, Coinbase, X, and over 20% of the last YC batch.
Small team, huge impact: We recently passed 65 employees and raised a $45 million Series B led by A16Z and Salesforce Ventures. Each new hire has a huge impact on shaping the company's trajectory.
Culture of slope over y-intercept : We value learning velocity, grit, and unapologetically unique personalities.
We grew in value faster than headcount and we’re looking to align the two quickly.
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.
What you'll work on here
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
What you bring to the table
You have at least 4 years of professional software development experience
You possess deep experience building production systems with language models, including agent loops, tool use, retrieval, prompting, and structured outputs
You are comfortable owning production software across frontend, backend, APIs, databases, and infrastructure
You have led complex projects from experimentation through production and thrive when defining solutions rather than following a spec
You have strong product intuition and care about the “why” as much as the “how” when building user-facing software
You’re eager to talk directly with customers and use those insights to shape what we build
You have experience mentoring other engineers, sharing technical knowledge, and helping teammates grow
Why you should join our engineering team
You’ll solve technically ambitious product problems alongside a team that values craft, speed, and thoughtful execution. Here’s a taste of what the team has built:
Engineers here are product builders with high agency; you'll drive change and have a voice in strategic decisions
You’ll have plenty of heads-down builder time on a small-but-mighty team where the best ideas win
We’ll find the intersection between what excites you and business priorities. You’ll own projects, ship, and see immediate impact
Company Benefits:
Competitive compensation and equity
20 days paid time off every year
401k
$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)

Experience
5+ years

Work arrangement
No

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