Job Description

About the Role

Featherless.ai is building the world's most reliable and comprehensive open-model inference platform -- the infrastructure powering the next generation of AI creators, startups, and enterprises. Our serverless approach to inference unlocks the best GPU utilization in AI infrastructure.


We're hiring

Senior Software Engineers

to support and evolve the API gateway to our inference cloud, which is responsible for

authentication and inference to all models subscription management and subscription entitlement (e.g. context-length, concurrency limits) and providing the necessary API surface for applications and builders

API Gateway is constantly evolving in response to the unending stream of new models, modalities, clients and inference load.

What you'll do

The API gateway is managed by the Platform Team, who aim to make Featherless the best place to find and use models. As a member of the platform team, you will

undertake feature development and bug fixes to keep up with clients, resolve user issues, and onboard new models improve the reliability of the existing API (increasing instrumentation and monitoring, right-sizing infrastructure) respond to availability incidents triage and resolve issues of inference quality and reliability manage the infrastructure on which our gateway runs

What you'll bring

first-hand experience of the user's we're building for (familiarity with popular open LLMs, common clients, and experience building with LLM) experience with the technologies and paradigms of the web (REST, websockets, DNS, networking, opentelemetry) experience with significant components of our stack (k8s, node, mikro-orm, fastify, redis, mongodb, python, elastic cloud, cloudflare, sentry, otel) ability to debug complex issues across a wide stack and build instrumentation as necessary desire to work collaboratively as part of a skilled team Alignment with team and company values, including

+ bias to action
+ responsiveness to users (bug-fixes over features)
+ instinct to iterate
+ subscribing to that done means proven by usage data

Other

This team operates on Eastern Time. We are remote, but with a preference to hire in Toronto, Canada.