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: 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

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

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 Range: $130K - $200K

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.

You never touch the form - the application is filled and submitted for you on Mintlify's own hiring system. It is not marked sent when we press submit. It is marked sent when a confirmation from their system arrives at the address we apply with, and your dashboard shows which stage each application is at until then.

Twelve applicant tracking systems have a real apply path: Workday, Greenhouse, Lever, Ashby, Workable, iCIMS, Personio, Recruitee, Teamtailor, Rippling, Breezy and SmartRecruiters. Your application goes in on the employer's own hiring system, never into an aggregator queue.

Want AI Applyd to auto-apply to roles like this?

We tailor your resume per posting, fill the forms, and track replies for you.