Asks for

The ad says“You possess deep experience building production systems with language models, including agent loops, tool use, retrieval, prompting, and structured outputs”
The ad says“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”
The ad says“You are comfortable owning production software across frontend, backend, APIs, databases, and infrastructure”
The ad says“You are comfortable owning production software across frontend, backend, APIs, databases, and infrastructure”
The ad says“You are comfortable owning production software across frontend, backend, APIs, databases, and infrastructure”
The ad says“You are comfortable owning production software across frontend, backend, APIs, databases, and infrastructure”
The ad says“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”
The ad says“You are comfortable owning production software across frontend, backend, APIs, databases, and infrastructure”
The ad says“You possess deep experience building production systems with language models, including agent loops, tool use, retrieval, prompting, and structured outputs”
The ad says“You possess deep experience building production systems with language models, including agent loops, tool use, retrieval, prompting, and structured outputs”
The ad says“You possess deep experience building production systems with language models, including agent loops, tool use, retrieval, prompting, and structured outputs”
The ad says“You possess deep experience building production systems with language models, including agent loops, tool use, retrieval, prompting, and structured outputs”
The ad says“You possess deep experience building production systems with language models, including agent loops, tool use, retrieval, prompting, and structured outputs”

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
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
You’ll solve technically ambitious product problems alongside a team that values craft, speed, and thoughtful execution
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

Benefits

Flexible work culture
20 days paid time off every year
Health, dental, vision
401k or RRSP
Free lunch and dinners
$700/year work setup stipend
$200/month wellness stipend
Annual team offsite
Unlimited free mints

Preferred experience

You have experience mentoring other engineers, sharing technical knowledge, and helping teammates grow
You have led complex projects from experimentation through production and thrive when defining solutions rather than following a spec
You are comfortable owning production software across frontend, backend, APIs, databases, and infrastructure
You possess deep experience building production systems with language models, including agent loops, tool use, retrieval, prompting, and structured outputs
You have strong product intuition and care about the “why” as much as the “how” when building user-facing software
You have at least 4 years of professional software development experience
You’re eager to talk directly with customers and use those insights to shape what we build