Full Stack Engineer - SF, Hybrid

each • San Francisco, CA

1d • Hybrid

About The Position

At each::labs, the Full Stack Engineer will serve as the company's engineering presence on the West Coast, working in San Francisco in a hybrid arrangement with a team primarily based in Istanbul. The role focuses on shipping end-to-end features across the frontend, backend, and API, while staying close to customers and collaborating with engineering and product on what to build next. The engineer may join sales calls to answer technical questions and then deliver fixes based on customer needs.

Current priorities include improving the signup-to-first-generation experience; making usage costs, billing, invoices, and API records consistent and transparent across more than 600 models; building reliable SDKs, documentation, and error messages; supporting agents through an MCP server, model-readable documentation and specifications, and recoverable tool errors; and maintaining performance and reliability under sudden traffic spikes with queues, retries, provider fallback, rate limits, and idempotency.

The team owns features from idea through production and measurement, ships small changes frequently behind feature flags, and expects everyone to read support tickets and talk with customers. Incidents are addressed through blameless postmortems. The current stack is React, Go, and Python, though it is not a requirement. The role is hybrid in San Francisco and offers close collaboration with the CEO.

Requirements

• Strong ability in a typed frontend language and comfort working on the backend.
• Ability to choose tools appropriate to the problem and learn new tools quickly.
• Experience owning a product developers use, such as a public API, SDK, CLI, or dashboard.
• Experience designing APIs that other people depend on, including dealing with versioning, deprecations, and breaking changes.
• Experience shipping to production frequently and being responsible when production systems break.
• Willingness to talk to product users and change what gets built based on their feedback.
• Use coding agents regularly and understand how to design the tools and schemas that agents use.
• Ability to work a few days a week from a San Francisco office.
• Interest in owning work across the stack and delivering visible customer-facing improvements.

Nice To Haves

• Experience building products used by AI agents, such as an MCP server, function-calling tools, or an API designed for model discoverability and recovery.
• Experience shipping an AI-powered feature to real users, including handling evaluation, latency, per-request cost, and failures.
• Experience building or fixing systems involving metering, billing, credits, or usage limits.
• Experience diagnosing performance issues using traces, profiles, or query plans.
• Experience working with image, video, or audio pipelines.
• Familiarity with React, Go, or Python.

Responsibilities

• Ship features end to end across frontend, backend, and API.
• Serve as the engineering contact closest to customers, including joining sales calls and addressing customer issues.
• Work with the wider engineering team and product team to decide what to build next.
• Improve the customer onboarding path from account creation through API key creation and first generation.
• Make usage metering, billing, invoices, and API cost reporting accurate and consistent.
• Build and maintain typed SDKs, useful quickstarts, documentation, and actionable error messages.
• Support AI agents as product users through MCP, tool descriptions, readable documentation and specifications, and recoverable errors.
• Improve system reliability and performance under spiky traffic, including queues, retries, provider fallback, rate limits, idempotency, and p99 latency.
• Own features from idea to production and assess their outcomes using relevant metrics.
• Ship small changes frequently behind feature flags.
• Read support tickets and speak with customers.
• Participate in incident response and blameless postmortems.
• Write short specifications, clear pull request descriptions, and honest postmortems.

Benefits

• Eligibility for stock options.
• 25 days of annual leave, plus public holidays.
• Annual salary reviews.
• A bonus scheme after 6 months tied to MRR and product milestones.
• High trust and zero micromanagement; the company focuses on outcomes rather than hours.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed