# Member of Technical Staff, TypeScript Engineer (Senior) at Inkeep

> Onsite · United States · Staff · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3Ainkeep%3A8695e358-cec4-4fec-9db4-e592e7832c33 (read 2026-11-05).

## Facts (observed)

- Company: [Inkeep](https://alderhq.app/companies/inkeep)
- Location text: New York City; San Francisco
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: New York City; San Francisco")
- Posted: 2025-11-11 (359 days ago)
- First seen by alder: 2026-11-03 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/inkeep/8695e358-cec4-4fec-9db4-e592e7832c33
- Skills listed (inferred): TypeScript, LLMs, Distributed systems

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (New York, n 228): p25 $200k, median $233k, p75 $270k

## Description (the employer's text)

### About Inkeep

Our open-source Agent Platform is uniquely designed to make it easy for both engineers and non-technical teams to build agents on a single platform.

Our customers include leading AI companies like Anthropic and Midjourney use our platform to build best-in-class AI experiences for their users and automate workflows for their teams.

We're backed by Khosla Ventures and Y Combinator, growing quickly, and looking for exceptional engineers who want to work at the forefront of AI with a high-velocity team and are excited by open-source and TypeScript.

### About the role

As a TypeScript Engineer, you'll architect and ship the core features that power our Agent Platform. You'll have significant ownership over how thousands of developers build AI agents, from API design to SDK ergonomics to the abstractions that make agentic systems easy to build.

This is a high-leverage role where you'll:

Own platform features end-to-end: architect, build, and maintain critical systems that our customers depend on

Shape the developer experience: design APIs, SDKs, and tools that developers love to use

Build at the frontier and in public: work on cutting-edge agentic systems and see your work used in production at leading AI companies -- all while contributing to open source.

Influence product direction: your technical and product insights will directly shape our roadmap

Work directly with customers: understand how teams build AI agents and design elegant solutions for their needs

### What we're looking for

Strong TypeScript expertise: 3+ years building full-stack products with TypeScript, with a deep understanding of end-to-end web fundamentals

System design skills: you can architect APIs and systems that are elegant, scalable, and developer-friendly

Product thinking: you care about the end-user experience and think through how people will actually use what you build

Full-stack fluency: comfortable working across the stack, from APIs to SDKs to UIs

High ownership: you want to own problems end-to-end, not just ship code

### Bonus points for

Experience building with AI (prompts, evals, RAG, agentic workflows, etc.)

Background in developer tools or B2B SaaS products

Open source contributions or public projects that demonstrate your craft

UX or design sensibility

### Our craft-driven culture

We expect every engineer to have strong product intuition and to think through the complete user experience. If you love building for other developers and are excited about building end-to-end agentic systems, this role is a great fit.

### Why join us

High impact: shape the platform that powers AI agents for leading companies

Technical depth: work on complex, challenging problems at the frontier of AI

Ownership: drive product, architectural, and technical decisions end-to-end

Learning: get deep on how AI Agents work and what it takes to ship them in production

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Ainkeep%3A8695e358-cec4-4fec-9db4-e592e7832c33 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.
