> Markdown version of [/jobs/ext/3876521-full-stack-engineer-backend-leaning](https://www.wearedevelopers.com/jobs/ext/3876521-full-stack-engineer-backend-leaning). 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). --- # Full Stack Engineer (Backend-Leaning) - **Company:** David Joseph & Company - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Salary:** $120,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** User Authentication, Software Debugging, Distributed Systems, Python (Programming Language), OAuth, Systems Integration, TypeScript, Large Language Models, Backend, Information Technology, Front End Software Development, Webhooks - **Published:** October 22, 2026 - **Apply:** https://www.thejobnetwork.com/job/a43d437d-8e6d-4bac-b57a-5e577bf01e6f/full-stack-engineer-backendleaning ## About the Role * 2-4 years of experience as a backend-leaning full-stack software engineer. * A track record of building and running production systems used by enterprise customers. * Professional, hands-on experience with TypeScript. * Genuine full-stack comfort across both backend and frontend, with Python as the primary backend language. * Experience at an early-stage startup (roughly under 50 people) with real, hands-on ownership. * A bachelor's degree in Computer Science or a closely related field. * Authorization to work in the US as a citizen, green card holder, or on OPT with several years of runway remaining. This role does not offer visa transfer or sponsorship. Nice to Haves * A background as a founder, or an active hackathon builder. * Prior exposure to agent evaluation, LLMs, or evals/QA work. ## Description This is a backend-leaning full-stack role (roughly a 90/10 backend-to-frontend split) building the systems behind the platform and its next generation of agent products. Most of the challenge lives in the backend: data modeling, queues, execution pipelines, integrations, observability, reliability, and debugging distributed workflows. You should also be comfortable taking a feature through the full stack and shipping the product surface that makes the underlying system useful. You will have real ownership over architecture and product decisions and work closely with a small, highly technical team and enterprise customers. What you'll be doing * Build the backend systems powering an agent evaluation and continuous-improvement platform. * Shape the data models behind evaluation datasets, experiment runs, agent traces, knowledge versions, and customer-defined quality criteria. * Own enterprise integrations end to end: authentication, OAuth, webhooks, incremental syncs, backfills, rate limits, schema changes, retries, monitoring, and production support. * Own features from technical design through deployment, monitoring, customer feedback, and iteration. * Work directly with customers to diagnose failures and turn one-off needs into reusable product capabilities. Tech stack: Python, TypeScript, distributed systems, enterprise integrations; relational and vector databases.