Job description

About Sandbar Sandbar is an interface company in New York City. We aim to expand human thinking. Our team has built software, ML, hardware, and consumer products across Meta, CTRL-labs, Apple, Peloton, and Equinox. Our first product is Stream, is private voice ring that extends your thinking. Stream has been featured in WSJ, Bloomberg, Wired, and Time's Best Inventions of the Year. Join us in creating technology that extends human thinking. About We’re looking for a strong generalist engineer to connect Stream to the software people already use. Stream is a self extension that listens, remembers, and helps you think through conversation, and the more of your world it can reach, the more useful it becomes. Most software wasn’t built to work with an AI. Making it work means understanding how each application is built, finding the most reliable way in, and making that connection dependable for people who rely on it every day. You’ll own this work end to end, work directly with the founders, ship on the same real-time Python services the rest of Stream runs on, and help shape how others build on Stream. Responsibilities - Build integrations between Stream and the apps, services, and AI tools people already use - Design how tools plug into Stream’s agent: tool definitions, result shaping, confirmation, and context passing - Own the integration layer end to end: OAuth and token lifecycle, least-privilege scopes, webhooks, rate limits, retries, and real-world failure modes - Build and operate MCP servers and clients in production - Work out reliable integrations for software without clean APIs - Instrument every integration so breakage is caught before users notice - Carry a share of the core backend and its on-call rotation Qualifications - 5+ years building software, with strong Python and comfort owning a live, real-time service - Have shipped third-party integrations in production: OAuth 2/OIDC, token refresh and revocation, webhooks, API versioning, and vendor quirks - Understand software architecture well enough to work with applications you didn’t write - Have integrated tools into an LLM agent that real users depend on, and been accountable for actions completing - Hands-on MCP experience - Generalist range across backend, auth, client code, and agent logic; can take an open-ended problem to a shipped result without a spec - Product sense for software that acts on someone’s behalf, including when the user isn’t looking at a screen - Communicate precisely and make tradeoffs explicit Nice to have - Connector or plugin work at an AI product - Browser automation (e.g. Playwright, Chrome DevTools Protocol) - Integration security: scoped credentials, secret storage, prompt-injection defenses, audit logging - Voice or multimodal assistant experience - Developer documentation other engineers have built on FTE Benefits - Health, vision, and dental benefits - Company-sponsored 401(k) - Unlimited PTO and sick time - Early stage equity

Requirements

Must-haves

Build integrations between Stream and the apps, services, and AI tools people already use
Design how tools plug into Stream’s agent: tool definitions, result shaping, confirmation, and context passing
Own the integration layer end to end: OAuth and token lifecycle, least-privilege scopes, webhooks, rate limits, retries, and real-world failure modes
Build and operate MCP servers and clients in production
Work out reliable integrations for software without clean APIs
Instrument every integration so breakage is caught before users notice
Carry a share of the core backend and its on-call rotation
5+ years building software, with strong Python and comfort owning a live, real-time service
Have shipped third-party integrations in production: OAuth 2/OIDC, token refresh and revocation, webhooks, API versioning, and vendor quirks
Understand software architecture well enough to work with applications you didn’t write
Have integrated tools into an LLM agent that real users depend on, and been accountable for actions completing
Hands-on MCP experience
Generalist range across backend, auth, client code, and agent logic; can take an open-ended problem to a shipped result without a spec
Product sense for software that acts on someone’s behalf, including when the user isn’t looking at a screen
Communicate precisely and make tradeoffs explicit

Nice-to-haves

Connector or plugin work at an AI product
Browser automation (e.g. Playwright, Chrome DevTools Protocol)
Integration security: scoped credentials, secret storage, prompt-injection defenses, audit logging
Voice or multimodal assistant experience
Developer documentation other engineers have built on
FTE Benefits
Early stage equity

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

mlaipythonrestapillm

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto