Backend Engineer

Build everyday AGI. Trustworthy, consumer-grade agents that redefine human–AI collaboration for millions. Software shouldn’t wait for commands; it should partner with you, amplifying what you can do every single day.

We’re a stealth team of elite founders and AI researchers, with backgrounds spanning Stanford, OpenAI, and DeepMind. We’re industry leaders in mobile and computer-use agents, bringing these capabilities to consumer scale.

Grounded in years of agent research, our AI is designed with trustworthiness and reliability as core pillars, not afterthoughts.

We are supported by tier-1 investors who funded the first generation of AI giants; now they’re backing us to build the next: everyday AGI. (Watch the demo)

If you see possibility where others see limits, read on.

You'll be one of the very first engineers shaping our core product and reimagining how people integrate AI companions into their day-to-day workflows.

This is not a support role. You'll whiteboard concepts in the morning and demo them by evening. You'll own the full stack — backend, frontend, model orchestration, observability — and build systems that are fast, reliable, and delightful.

You'll focus on scale, trust, and clarity — ensuring every API call, background job, and data pipeline moves us forward.

Think from zero: Whiteboard the concept in the morning and demo it by evening. Own the full cycle from idea to shipped product.

Own the stack: Backend, frontend, model orchestration, observability, whatever removes friction between idea and shipped product.

Bridge research and delight: Sit beside scientists, translate breakthroughs into polished consumer experiences, and push them to production in days, not quarters.

Define the bar: Establish the engineering, design, and reliability standards that every future hire will follow.

Move markets: Your features won't live in a sandbox; they'll redefine how everyday people trust and collaborate with AI.

• 5+ years building and operating production backend systems in fast-paced, product-driven teams

• You've owned production SLAs and on-call for systems that matter

• Deep fundamentals in distributed systems (idempotency, exactly-/at-least-once, retries/backoff, queues, caching, consistency) and API design (RESTful/gRPC)

• Fluency with building backends in Python, TypeScript/Node.js; write code that is observable, testable, and easy to extend

• Experience with Postgres/MySQL schema design, indexing/transactions, plus Redis, Kafka (or similar) where it fits

• API integrations at scale: robust abstractions, retries/backoff, rate-limit handling, and data normalization

• Working knowledge of LLM pipelines (embeddings, retrieval/vector stores, context windows) and tools like LangChain/OpenAI APIs

• Cloud & reliability: Docker/K8s, CI/CD, observability (metrics/logs/tracing), performance profiling, and basic security hardening

• Experience building systems that serve millions of users

• Track record of improving system reliability and performance

Great products need systems that just work. Great systems multiply the impact of every feature.

You will define how our agent infrastructure scales, how reliability is measured, and how quickly we can ship improvements to real users.

🏢 All in, in person — work moves faster face-to-face
🚀 Ship by default — speed and polish can coexist
🤝 One band, one sound — radical candor, zero politics

Send us:

• A link — or 60-second video — of something you built and why it matters

• Your resume or LinkedIn

• Two sentences on the hardest problem you've cracked

Every exceptional candidate hears back within 48 hours.

If you see possibility where others see limits, we'd love to meet you.