Senior Applied AI Engineer

Mintlify; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Competitive compensation and equity

20 days paid time off every year

401k or RRSP

$420/month wellness stipend

100% coverage for Health, dental, and视

Free Ubers to and from work

Free lunch and dinners

Annual team offsite

Job summary

Doist is seeking a Senior Applied AI Engineer in San Francisco to own complex AI products from early experiments through production. You’ll architect customer-facing AI experiences, orchestrate agents, and support backend systems while shaping technical direction and evaluation practices.

You’ll lead the way in building reliable AI systems and iterating on prompts, tools, and product flows to deliver scalable, high-impact solutions for real customer problems.

Qualifications

• At least 4 years of professional software development experience.
• Deep experience building production systems with language models, including agent loops, tool use, retrieval, prompting, and structured outputs.
• Comfortable owning production software across frontend, backend, APIs, databases, and infrastructure.
• Led complex projects from experimentation through production.
• Strong product intuition and focus on why as well as how when building user-facing software.
• Eager to talk directly with customers and use insights to shape what we build.
• Experience mentoring other engineers and sharing technical knowledge.

Responsibilities

• Leading AI products end to end: Architecting and shipping customer-facing AI experiences, from agent orchestration and tool use to the interfaces and backend systems that support them.
• Building reliable agent systems: Developing agent loops that reason over complex context, call tools, recover from failures, and complete long-running tasks.
• Driving evaluation and iteration: Defining evals, building feedback loops, analyzing failures, and hill-climbing on prompts, context, models, tools, and product flows.
• Turning prototypes into products: Making decisions about architecture, latency, cost, observability, and user experience to operate AI systems reliably at scale.
• Shaping product direction and engineering approaches across the stack.

Skills

Software development

Production ML systems

Agent loops

Frontend & Backend

Mentoring

Customer interaction

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 a Senior 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

• Leading AI products end to end: Architecting and shipping customer-facing AI experiences, from agent orchestration and tool use to the interfaces and backend systems that support them
• Building reliable agent systems: Developing agent loops that reason over complex context, call tools, recover from failures, and complete long-running tasks
• Driving evaluation and iteration: Defining evals, build feedback loops, analyze failures, and systematically hill-climb on prompts, context, models, tools, and product flows
• Turning prototypes into products: Making thoughtful decisions about architecture, latency, cost, observability, and user experience to operate AI systems reliably at scale
• Shaping product direction and engineering approaches across the stack

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 > HTMLEngineers here are product builders with high agency; you'll drive change and have a voice in strategic decisions

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)