Staff Backend Engineer San Francisco, California · Full-time · $250K – $300K

Town; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Town in San Francisco is looking for a backend engineer to develop an AI-powered assistant that understands user needs and executes tasks reliably across multiple tools. You will work on LLM orchestration, design key infrastructure, and be a foundational team member during a high-growth period.

Ideally, you have experience with infrastructure level challenges, can define technical direction, and are excited to work in-person five days a week. If you thrive on solving complex problems and shaping the future of AI, this could be the role for you.

Qualifications

• Experience building and scaling backend systems during high-growth.
• Comfortable defining technical direction in ambiguous environments.
• Ability to think in systems, including distributed systems and APIs.
• Familiarity with real-time AI workloads in production.

Responsibilities

• Work on LLM orchestration and workflow execution.
• Build multi-provider LLM infrastructure.
• Design the identity and knowledge layer.
• Define service ownership.

Skills

Backend systems scaling

Defining technical direction

Systems thinking

AI-native coding workflows

LLM infrastructure experience

Job description

About Town

Town is an AI-powered assistant that connects to your tools to do real work on your behalf -- triaging your inbox, drafting in your voice, managing your schedule, and running workflows across everything you use. It knows you deeply and gets sharper over time.

About the Role

The core technical challenge at Town is: context from everywhere, action anywhere. The assistant pulls from your email, calendar, Slack, docs, and connected tools to build a deep understanding of who you are and what you need -- then executes reliably across all of them.

Town's AI assistant goes beyond a solid harness and decent tool integrations. It has memory that compounds over time, a suggestion engine that discovers what to automate before you think to ask, and network effects where your assistant gets better because your colleagues are using Town too. These are the systems you'll build.

You’ll be a foundational hire, working across the full backend -- from LLM orchestration and workflow execution to the identity and knowledge layer that makes every interaction smarter than the last. Everyone has direct influence over architecture decisions. There's no platform team to hand things off to -- you own it end to end. The environment is greenfield, and the problems are unlike traditional backend engineering: non-deterministic, cost-sensitive LLM workloads; real-time personalization across a growing knowledge graph; agent-to-agent protocols that work across organizational boundaries.

Example projects include...

• Building the orchestration layer for agentic workflows

• Building multi-provider LLM infrastructure

• Rethinking email, calendar, and contacts as AI-native experiences

• Designing the identity and knowledge layer

• Architecting agent networks

• Building the trust and autonomy system

• Defining what service ownership

You might thrive in this role if you...

• Have built and scaled backend systems through a company's high-growth arc -- you were there during the inflection, not after. We want to hear all your your concrete product scaling stories.

• Are comfortable defining technical direction in ambiguous, fast-moving environments -- not just executing within one

• Think in systems -- distributed systems, data pipelines, APIs, reliability. You're drawn to infrastructure-level problems and the tradeoffs that come with them.

• Have tuned your AI-native coding workflow that makes you dramatically faster and more effective.

• Have experience with LLM infrastructure, agentic systems, or real-time AI workloads in production

• Care about trajectory over tenure. We're less interested in years of experience than how fast you got here and what you built along the way.

• Are excited about working in-person in SF, five days a week. We believe it matters at this stage.

Location

San Francisco, CA -- five days a week in-person at our Financial District office (near Montgomery BART stop).