Founding Product Engineer (Frontend)

About Confident AI

The LLM Eval and Observability Platform for AI Quality

Tech description:

Confident AI is building an open-source LLM evaluation framework called DeepEval to help companies evaluate their LLM applications. While we provide the algorithms, companies are free to use their own LLMs for evaluation and our job is to make sure they get accurate evaluation results and a good user experience while using our framework.

Confident AI's commercial product brings DeepEval to the cloud. While DeepEval is great, it can only do so much as a testing framework that runs locally in notebooks or CI/CD pipelines. With Confident AI, companies can get instant access to benchmark and LLM testing reports, catch regressions at scale, and monitor LLM applications in production.

Job description:

#### **Overview**

Confident AI is building the infrastructure that makes AI trustworthy. Engineering teams spend hours a day inside our platform looking at traces, evals, and test results — the frontend isn't a layer on top of the product. It is the product.

We're hiring a Founding Product Engineer to own that product end-to-end. You'll talk to users, decide what gets built, design the UI yourself, and ship it — from the component layer down to the API routes that power it. No PM writing specs, no designer handing you mocks.

As a founding engineer, the quality bar you set and the interfaces you ship will be the reason engineering teams choose us over the alternatives.

#### **What you'll be doing**

* Own user-facing features from product decision to design to shipped code. You make the design calls — there are no Figma files waiting for you.
* Build data-dense, fast, polished interfaces for traces, evaluation results, and testing workflows — the screens our users live in every day.
* Talk to users, understand their workflows, and turn what you learn into product decisions. You're the engineer in the room closest to the customer.
* Work across the stack. Most of your time is in the frontend, but you'll write the API routes, queries, and server logic your features need without waiting on anyone.
* Architect the frontend to last — the components, state management, and patterns you establish need to hold up as the product and team grow around them.
* Set the standard for product quality and user experience that every engineer we hire after you builds to.

#### **You should be someone who**

* 3+ years building production web applications, ideally at a fast-moving product company or startup.
* Deep proficiency with React, Next.js, TypeScript, and CSS. You don't reach for a UI library because you can't write the styles yourself — you reach for one when it's the right call.
* A genuine eye for design. You notice when spacing is off by 2px, you have opinions on motion and hierarchy, and you can take a feature from idea to polished UI without a designer.
* You understand frontend at scale — rendering performance, state management, data fetching, and architecture that doesn't collapse as the product grows.
* Enough backend fluency to move fast — databases, APIs, caching, auth. You won't be scaling them, but you build against them confidently.
* Fluent with AI coding tools like Claude Code and Cursor as part of your daily workflow. At our size, every engineer operates at a multiplied level.
* You think in user experiences, not components. The question you ask is 'what should this feel like to use,' not 'what props does this take.'
* High-agency and comfortable with ambiguity. We're seed-stage — you identify what matters, make a plan, and ship.

#### **Your work will**

* Be the reason our platform feels like the best product in AI infrastructure, not just the most capable one.
* Own the user experiences that engineering teams interact with for hours every day.
* Set the product engineering bar the rest of the team builds to as we scale from seed to market leader.

#### **By joining us, you will**

* Full ownership: you decide what gets built and how it feels, and you ship it yourself.
* A seat at the table: direct access to the founding team at the stage where every product decision compounds.
* The problem: you'll work on what makes all other AI work trustworthy. The impact ceiling is massive.