Maitai manages the LLM stack for enterprise companies, enabling the fastest and most reliable inference. The future of enterprise AI revolves around mosaics of small, domain-specific models powering powerful, responsive agents, and Maitai is well positioned to capture the market. If you're looking at getting in early with a company redefining how large companies build with AI, then let's talk.

High-level

Help us reshape how enterprise companies build with LLMs. You'll collaborate with founders, other engineers, and partners to create the management layer for composable high-performance agents. Expect to tackle the hardest challenges surrounding scaling agents and inference while working at the cutting edge of opensource models and accelerated compute. We’re at an inflection point: demand is exploding, new customers are pushing us to scale faster than ever, and we’re looking for ambitious engineers to help us meet it head-on.

Low-level

We move fast and solve hard problems at every level of the stack. You'll be working on high-performance distributed systems that power our agent infrastructure, ensuring agents run reliably and efficiently. Our backend is built with Go and Python, running on Kubernetes across AWS and GCP, with Terraform. You'll optimize base agent functionality like routing, orchestration, and processing, as well as backend latency, ensuring responses are quick and accurate. You’ll also work on agent evaluations and composability - ensuring new customers can get started same day as onboarding. On the frontend side, you’ll contribute to our Portal (React/TypeScript), where customers build agents, configure guardrails, fine-tune models, and test. If you love working across the stack, making systems faster and more reliable, and solving real production AI challenges, you'll thrive here.

Who You Are

• You believe “agent” is a buzzword (and you know what really makes an agent an agent)
• You’ve built and shipped real systems end-to-end
• You contribute to your side projects in your free time
• You have strong opinions
• You’ll call it a day after you shave off that last 5ms
• You’re self-motivated, take pride in your work, and don’t require hand-holding (we don’t hire children)

Why Join Us?

• Big challenges – Building agents to tackle extraordinarily complex tasks spanning physical and digital
• High impact – Define architecture, influence product, and shape company direction
• Elite team – Work with top engineers in a fast-moving environment
• Equity upside – Early team, meaningful ownership
• No Red Tape – We’re still early, which means less process, more shipping, and absolutely zero Jira epics (for now)

More You Need To Know

• In-person downtown Redwood City. We'll hook you up with a Caltrain or parking pass, lunch, and Starbucks/Philz/whatever.
• We’re engineering-first, meaning engineers make product decisions. Get ready to work with customers and push your own spec. If you're comfortable just being told what to do, then this isn't the gig for you.
• We'll let you bite off as much as you can chew, and you'll get more and more opportunity if you prove you can handle it.

About Us

Maitai helps companies build the world’s fastest, most reliable AI agents for their missing critical real-time applications. We also maintain a suite of features that allow users to improve their agents over time with extensive test suites, a robust fine-tuning pipeline, and thorough observability. We're growing fast, well-capitalized, and seizing a massive opportunity to redefine how enterprise companies build with AI. Top YC startups and public companies rely on us to manage their models and agents.

Infra

As LLMs are core to our customers' products, resiliency and uptime are our top priorities. Since we act as a proxy, our uptime must exceed that of the providers themselves. We’re multi-cloud, multi-region, and built for seamless failover. Our infrastructure runs on Kubernetes, managed with Terraform, and deployed across AWS and GCP. We use GitHub Actions for CI/CD, with Datadog for monitoring, tracing, and performance insights.

Infra stack: Kubernetes, Terraform, AWS, GCP, GitHub Actions, PostgreSQL, Redis, Datadog.

Backend

Our backend is a set of microservices running Python with Quart for web services and Python-based fine-tuning jobs optimized for speed, cost, and accuracy. We use PostgreSQL for conventional data persistence and vector storage. Go is being introduced where performance gains are critical.

Tech stack: Python (Quart), Go (in transition), PostgreSQL.

Frontend

Tech stack: React (Typescript)