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# Software Engineer

- **Company:** David Joseph & Company
- **Location:** San Francisco, CA, United States
- **Salary:** $180,000.0 - $280,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Distributed Systems, Python (Programming Language), Redis, Software Engineering, TypeScript, Rust (Programming Language), Delivery Pipeline, Large Language Models, Backend, Fastapi, Information Technology, Data Pipelines
- **Published:** June 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d922226ef6149e93

## About the Role

Do you have experience in Scalable systems?, Required

 * 0-8 years of experience in software engineering, backend, or AI-adjacent work
 * Currently working on AI/agent-related projects
 * Strong Python proficiency for rapid iteration
 * Experience scaling systems at startups or big tech
 * Built backend systems, data pipelines, or automation infrastructure
 * Comfortable navigating and iterating quickly in large Python codebases
 * Experience with high-concurrency backend infrastructure (FastAPI, queuing, Redis)

Preferred

 * Computer Science degree
 * Experience with agent SDKs, LLM tooling, or RL pipelines, * Intro Chat (30 min) with a founding team member - background, motivations, fit, and logistics.
 * Technical Interview (30-60 min) - a collaborative, experimental-design problem-solving session (not a traditional coding test).
 * On-site Work Trial (1-3 days) - working alongside the team on real or representative tasks.

## Description

* Build the training loop, not a wrapper. Our engineers work at the core of the RL pipeline - building the systems that generate training signal for frontier AI agents, not dashboards on top of someone else's model.
 * Real customers, real usage. We already ship software that leading AI teams depend on daily.
 * Massive scope and ownership. On a ~10-person team you'll touch backend systems, data pipelines, automation infrastructure, internal tools, and customer-facing prototypes - with the autonomy to drive projects end to end.
 * Founder-led technical culture. Work directly alongside researchers and infrastructure engineers in a tight feedback loop, with no layers between you and the problem., We're looking for a backend-leaning software engineer with experience on AI-related projects who can scale and automate our post-training pipeline. You'll thrive in a fast-moving, research-adjacent environment and bring a track record of optimizing systems for scale, driving down cost, and iterating quickly on Python-based stacks. This is a hands-on, individual-contributor role., * Build and optimize automation pipelines that streamline the post-training stack for scale and cost efficiency
 * Maintain and support high-concurrency infrastructure powering customer training pipelines
 * Work with researchers and founders to turn experimental workflows into robust, production-ready systems
 * Develop backend services and APIs for environment generation, trace ingestion, and telemetry
 * Collaborate on parallelization and coordination of multiple agents across distributed systems
 * Ship pragmatic, high-quality software in a flat, deeply technical team

Tech stack: Python, Rust, FastAPI, TypeScript, Agent SDKs, Redis, distributed systems, CPU-based infrastructure


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