Member of Technical Staff, TypeScript Engineer (Principal)
At a glance
Senior Frontend Engineering role at Inkeep. New York · full-time · $180,000–$250,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Take platform features from architecture through implementation and ongoing maintenance
- Design APIs, SDKs and tools that make it easier for developers to build AI agents
- Guide technical choices and help teammates resolve engineering challenges
- Use customer conversations to understand their agent-building needs and shape product solutions
- Contribute to open-source work while building agentic systems used in production
What you bring
- At least four years building full-stack products with TypeScript and strong command of web fundamentals
- You can design scalable, approachable APIs and systems
- You work across APIs, SDKs and user interfaces, with a focus on how people use the product
- You’re ready to take responsibility for problems from initial design through delivery
Who this fits
This suits a senior individual contributor who wants broad product and system ownership, while also guiding technical direction and supporting teammates. The role is onsite in New York.
From the employer
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 Staff Engineer, you'll own a large surface area of the product, both by being a product and system architect that's helpful to others on the team, as well as being a core individual contributor. 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.
Lead technical and team direction: Serve as a leader and resource
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: 4+ 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