MI

Applied AI Engineer

Mintlify

San Francisco, USonsite$130k-$200k/yrPosted Aug 17, 2026
Posting intelligenceActively listed

Skills

salesforce

About the 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 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

- 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)

Compensation

This Machine Learning Engineer role pays $130k-$200k/yr. Within typical range for machine learning engineer roles in United States.

Questions about this role

Click "Apply with AI Applyd" above and you are done. Your resume is rewritten for this advert, the screening questions are answered, and it is submitted on Mintlify's own hiring system. No retyping your history, no fourteen tabs, no evening lost.

Compensation for Machine Learning Engineer roles in United States varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Machine Learning Engineer hub for United States medians across recent openings.

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