> Markdown version of [/jobs/ext/4628244-software-engineer-full-stack](https://www.wearedevelopers.com/jobs/ext/4628244-software-engineer-full-stack). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Software Engineer, Full Stack

- **Company:** True
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $200,000.0 - $350,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computing Platforms, Distributed Systems, Graph Database, Python (Programming Language), Software Engineering, Large Language Models, Agentic-AI, B2b Software, Front End Software Development, Virtual Agents, Data Pipelines
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25304_386459798f04a60b137b595720ae40a4

## About the Role

* At least 3 years of software engineering experience, with production experience across the full stack.
 * Strong Python skills, or proficiency in another language and the ability to ramp up quickly.
 * Experience building core systems, distributed systems, or data pipelines, with a solid understanding of system design and infrastructure.
 * Curiosity, self-direction, and a track record of finding and solving valuable problems.
 * Clear communication and collaboration skills, including comfort working with customers.
 * An individual contributor mindset and strong technical fundamentals; alternative educational backgrounds are welcome.
 * Experience with AI agents, LLMs, workflow automation, knowledge graphs, or multi-tenant systems is relevant. Procurement, supply chain, industrial technology, or early-stage startup experience is a plus.

## Description

Join a growing AI and B2B software engineering team building an agent platform that automates enterprise procurement. This individual contributor role spans product and infrastructure, with the opportunity to shape core systems as the platform scales., * Learn the codebase, business, and customer needs to identify and solve high-value problems.

 * Work across the stack, from infrastructure and distributed systems to frontend and UI issues.
 * Speak directly with enterprise customers to understand procurement challenges and translate findings into product improvements.
 * Design and own Python-based AI agent systems that work with fragmented enterprise data.
 * Collaborate with engineering leadership and the team on platform architecture and scaling.