Member of Technical Staff (AI Agents) - Full Stack or Platform Engineering
Build production AI systems that continuously learn, reason, plan and execute complex workflows alongside humans. Own meaningful product from day one, either designing sophisticated multi-agent workflows with TypeScript/React or scaling secure distributed infrastructure across AWS. Must have proven track record of shipping production LLM/agentic systems and thrive in fast-moving startup environments.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Member of Technical Staff (AI Agents)
San Francisco | Up to USD $350,000 + Equity | 5 Days Onsite
Forget building demos. Build AI systems that actually do the work.
We're partnering with one of Silicon Valley's fastest-growing AI startups that's redefining how the world's largest enterprises operate. Their AI agents don't just retrieve information. They continuously learn, reason, plan and execute complex workflows alongside humans.
Backed by leading venture capital firms and already generating multi-million dollar enterprise revenue, this team is shipping production AI into Fortune 100 companies every single week. If you've ever wanted your work to have immediate impact at massive scale, this is it.
You'll join a small team of exceptional engineers who've previously built products at Apple, Meta, Stripe, Ramp and leading AI research labs.
This isn't a place to hide behind process.
It's a place to build.
The Role
You'll own meaningful product from day one.
Depending on your strengths, you'll either:
Full Stack / Forward Deployed Engineering
- Build production AI products using TypeScript and React
- Design and ship sophisticated multi-agent workflows
- Work directly with enterprise customers solving real-world problems
- Own features from concept through production
Platform Engineering
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- Design the infrastructure powering enterprise AI deployments
- Scale secure distributed systems across AWS
- Build with Kubernetes, Terraform and modern cloud tooling
- Solve reliability, security and performance challenges at scale
Regardless of your path, you'll work across the stack wherever you can create the biggest impact.
What We're Looking For
This role is for builders.
We're looking for engineers who have:
- Built and shipped production LLM or agentic systems that go well beyond traditional RAG
- A proven track record of delivering products that real customers use
- High ownership and the ability to identify problems before being asked
- Thrived in fast-moving startup environments where ambiguity is the norm
You'll ideally also bring one of the following:
- Experience at a leading AI lab or elite product company
- A recent YC founder background with a shipped AI product
- Deep experience building large-scale infrastructure with AWS, Terraform and Kubernetes
- Forward-deployed or customer-facing engineering experience
- Strong AI systems, agent framework or LLM production experience
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Why You'll Want This Role
- Build AI products that reach Fortune 100 customers within days of shipping
- Solve some of the hardest problems in enterprise AI
- Work alongside an exceptionally high-calibre engineering team
- Own major technical decisions from the earliest stages
- Competitive salary up to USD $350,000 plus meaningful equity
- Visa sponsorship available
- San Francisco office with an ambitious, highly collaborative engineering culture
You'll Love This If...
- You build AI projects outside of work because you're genuinely fascinated by what's possible.
- You care more about shipping than talking.
- You've already moved beyond simple RAG implementations into autonomous, agentic systems.
- You enjoy solving difficult engineering problems with exceptional teammates.
- You want your work in production fast, with feedback from some of the world's biggest companies.
If you've been looking for a role where your technical decisions genuinely shape both the product and the company, we'd love to hear from you.
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