Staff Backend Engineer

Town.com, Inc.; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Town.com, Inc. is hiring a foundational backend engineer to own the end-to-end backend for our AI-powered assistant. You will work on LLM orchestration, workflow execution, and the identity/knowledge layer to make every interaction smarter than the last.

The role touches non-deterministic, cost-sensitive workloads, real-time AI tasks, and agent-to-agent protocols. You will influence architecture decisions in a greenfield environment, with five days a week in person in SF or NYC.

Qualifications

• Built and scaled backend systems during growth.
• Experience with distributed systems and data pipelines.
• Proficiency in AI-native coding workflows.
• Experience with LLM infrastructure or real-time AI workloads.

Responsibilities

• Own end-to-end backend architecture for Town's AI assistant.
• Build LLM orchestration and workflow execution.
• Develop identity and knowledge layer for smarter interactions.
• Design agent networks and trust/autonomy systems.

Skills

Backend systems

Distributed systems

LLM infrastructure

Real-time AI workloads

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, five days a week. We believe it matters at this stage.

Location

5 days per week in person, in either SF or NYC