Applied AI Engineer
The role combines full‑stack development with applied AI to create intelligent documentation features for Mintlify's platform. Candidates will build and deploy machine‑learning models and integrate them into web products serving millions of developers.
Skills required
About this role
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 an 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 hereBuilding AI products end to end: Designing and shipping customer-facing AI experiences, from agent orchestration and tool use to the interfaces and backend systems that support them
Developing reliable agents: Building agent loops that reason over complex context, call tools, recover from failures, and complete long-running tasks
Evaluating and improving performance: Creating evals, analyze failures, and hill-climb on prompts, context, models, tools, and product flows
Shipping across the stack: Building the APIs, data pipelines, interfaces, and production infrastructure needed to turn promising prototypes into polished products
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
Introducing the collaborative editor built for teams and agents
Docs URL Benchmark: Markdown & llms.txt > HTML
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
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)
