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Senior Applied AI Engineer
Mintlify
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About this role
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 https://mattrickard.com/hire-slope-not-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: - How we built a virtual filesystem for our Assistant https://www.mintlify.com/blog/how-we-built-a-virtual-filesystem-for-our-assistant - Introducing the collaborative editor built for teams and agents https://www.mintlify.com/blog/editor - Docs URL Benchmark: Markdown & llms.txt > HTML https://www.mintlify.com/blog/llms-txt-agent-benchmark
- 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 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)
Salary insight
The midpoint of this range ($228k) is about 14% above the median disclosed salary for San Francisco roles listed on ForgeApply ($200k across 8,372 jobs).
See full Machine Learning Engineer salary data for San Francisco →
Based on live postings with disclosed pay on ForgeApply; refreshed daily. Not an estimate of this employer's offer.
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