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Mintlify

Applied AI Engineer

San Francisco
Salary
$130K - $200K
Level
Mid

Not stated in the posting: work type, visa.

Open. First seen 17 August 2026.

About the role

Why Mintlify?

Mintlify's standard text

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.
Mintlify's standard text

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 with Employer Match
  • monthly wellness stipend
  • 100% employee coverage for Health, Dental, Vision
  • Commute stipend to help get you to and from work
  • Free lunch and dinners
  • Annual team offsite (previously went to Alaska, Hawaii, Jackson Hole)

What this role asks for

Standard for data science / ML roles

LLM

Common in data science / ML postings at any company.

In most of Mintlify's ads

Salesforce

Named in most of its open postings, whatever the role.

96% of this description is written for the role. The rest is Mintlify's standard text, folded away below.

Read against Mintlify's other open postings on this site.

The team: Engineering HIRES STEADILY

This role is one of 8 open in Engineering. 3 were posted in the last 30 days and the oldest in August: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Salesforce (8 of 8), HTML (4 of 8), LLM (4 of 8), JavaScript (3 of 8), Next.js (2 of 8), React (2 of 8), TypeScript (2 of 8)

OTHER ROLES ON THIS TEAM

From the team and dates on Mintlify's own job board.

Salary context

35 other open postings titled Applied AI Engineer state a salary: median USD 159,000 to USD 250,000 a year.

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