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Applied AI Engineer

Compensation
$130,000–$200,000/year

Job Description

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 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 here

  • Building 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

  • 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)

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Job Details

Category
Software
Employment Type
Full Time
Location
San Francisco, CA
Posted
Compensation
$130,000 - $200,000 per year

About Mintlify

Mintlify provides an intelligent platform that helps teams create, manage, and deliver documentation for products, APIs, and internal workflows. The platform integrates intelligence into writing, editing, and maintenance processes, ensuring content remains current and searchable for both users and machine understanding. It supports features such as context‑aware drafting, self‑updating knowledge bases, and AI assistants that guide users through documentation visits.

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Applied AI Engineer
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