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# Senior Software Engineer - Agentic AI (San Francisco)

- **Company:** Syndesus, Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $230,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Code Review, Cursor, Python (Programming Language), Node.Js, TypeScript, Core Voice Platform, Chatbots, ReactJS, Large Language Models, Claude Code, Backend, Agentic-AI, Information Technology, Low Latency, Front End Software Development, Claude, Software Coding
- **Published:** November 1, 2026
- **Apply:** https://www.juju.com/job/16_c71b6b0d

## About the Role

* 3-6 years of experience as a software engineer
 * Has shipped LLM or agentic features to production users in a recent role (internal tools, side projects or a skills-list mention don't count)
 * Has led a production platform or core service end to end and made its architecture decisions
 * Strong system design and hands-on coding skills
 * TypeScript/Node or Python as your main production language in recent roles (React a plus)
 * At least 1 recent year at a Series A-D startup (earlier big tech experience is fine)
 * Deep, daily use of frontier AI tools such as Claude and Cursor
 * BS in Computer Science or a related STEM field

Nice to have

 * Technical founder or founding engineer experience
 * Conversational AI, voice AI, fintech, banking or regulated financial services background

## Description

We're looking for a software engineer with 3-6 years of experience building production-grade platform systems in TypeScript and/or Python, who has led the systems they shipped rather than just contributing to them. You'll own technical decisions end to end and work with LLM-based and agentic AI in production every day, in person in San Francisco, with a direct line to the CTO and CEO.

What you'll do

 * Lead the design and build of scalable, observable and maintainable platform services that power the company's agentic AI products
 * Own technical decisions end to end, including architecture, APIs, data models, performance and security, under real limits on latency, reliability, cost and scale
 * Work in person with engineering leadership, the CTO and the CEO, and with product, design and data, to turn product bets such as an AI-first contact center and AI-native consumer banking into shipped systems
 * Build and extend backend systems in TypeScript and Python, and shape frontend experiences in JavaScript/React
 * Lead the integration of LLM-based and agentic AI capabilities into production, from design to deployment. This is applied AI engineering, not research.
 * Set engineering standards for code review, testing, deployment and incident response, and bring AI-native tools (Claude Code, Cursor) into daily work