EngineeringFull-time

Full Stack Engineer

Build the product and platform surfaces that make Direct Inference feel like one dependable endpoint, from API workflows to dashboard tools used by production teams.

You will build across the customer-facing product and the platform systems that make production AI feel straightforward.

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About Direct Inference

Direct Inference is the endpoint that does everything frontier models can do. Customers bring the SDK and model id they already use; Direct Inference handles capability, quality, cost, latency, failover, and provider churn behind the scenes.

The important product constraint is zero-knowledge: customers never see which model, provider, or version served a request. That lets them build on a stable surface while the model market keeps moving underneath it.

What you'll own

Ship full-stack product flows across onboarding, API keys, billing controls, traces, analytics, docs, and playground workflows.
Build frontend and backend features that make customer usage understandable without exposing private serving internals.
Work with design, reliability, and inference engineering to turn platform capability into practical product surfaces.
Improve type safety, tests, and developer experience in the marketing and portal codebases.
Talk through customer workflows and translate product friction into shippable improvements.

Projects you might ship

Build a better first-run flow that gets a developer from signup to a successful Direct Inference request with less uncertainty.
Improve a traces or analytics workflow so teams can understand usage, spend, and request types without seeing private serving internals.
Ship a cross-stack feature that connects API behavior, stored usage, and portal presentation end to end.

What we're looking for

You have shipped production web products with meaningful backend/API work.
You are comfortable in TypeScript, React, backend services, data models, and product analytics.
You care about UI polish, performance, and clear user flows.
You can balance quick iteration with maintainable system boundaries.
You enjoy product ownership and can make sensible decisions with incomplete information.

Nice to have

Experience with developer tools, billing systems, observability products, AI products, or API-first SaaS.
Comfort moving between Go, TypeScript, SQL, Next.js, and product copy.
A track record of making complex technical systems feel approachable to builders.

Your first 90 days

Ship a customer-facing improvement to the portal or onboarding flow.
Own one cross-stack feature from product shape through backend implementation.
Identify a repeated customer support or adoption issue and remove it from the product.

Benefits & support

Built for people doing serious work in a small team.

Competitive salary and meaningful equity

Remote-first work with San Francisco collaboration space

Medical, dental, and vision coverage

Home-office and developer-tooling budget

Quarterly team working sessions and offsites

Direct access to customers and production product decisions

Interview process

A direct loop with the people doing the work.

01

Intro

A focused conversation about your background, what you want to build, and where this role should create leverage.

02

Technical

A practical working session around the kind of problem this role owns. We prefer realistic systems over puzzle interviews.

03

Team

Meet the people you would work with across product, engineering, reliability, and customer-facing work.

04

Offer

We align on scope, compensation, start timing, and the first problems you would take on.

Application

Apply for Full Stack Engineer.

Share the practical context we should know before the first conversation. We read applications for ownership, clarity, and evidence of shipped work.

First name *Last name *Email *PhoneLocation *Remote work locationLinkedInWebsite, GitHub, or portfolioResumeUpload PDF, DOC, or DOCXWhy this role?How did you hear about us?Are you authorized to work where you are based? *Will you now or later require visa sponsorship? *

Voluntary self-identification

These questions are optional and never affect hiring decisions. Choose “Prefer not to say” anywhere you would rather not answer.

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Required fields are marked with an asterisk.

Candidate notices

Equal opportunity

Direct Inference is an equal-opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, disability, veteran status, age, or any other status protected by law.

Reasonable accommodations

If you need an accommodation during the interview process, contact careers@directinference.com. We will work with you on a reasonable path through the process.

Candidate privacy

Application information is used for recruiting, evaluation, coordination, and hiring operations. Access is limited to people involved in the hiring process and retained only as needed for legitimate recruiting and compliance purposes.

Compensation

Posted ranges are good-faith estimates for the role and may vary by experience, location, scope, and market conditions. Equity and benefits are considered as part of the total offer.

Work authorization

Candidates are asked about current and future work authorization so we can understand employment feasibility early. A sponsorship need does not automatically disqualify a candidate.

Recruiting safety

Direct Inference will not ask candidates to purchase equipment, send money, or share sensitive personal information before a formal process. Messages should come from a directinference.com address.

More openings

Other ways to build Direct Inference.

All roles

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Own and extend the serving engine: the quality, latency, health, and price signals that decide how every request is served.

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