Senior Software Engineer
- Location
- San Francisco, California, United States
- Work mode
- On-site
- Employment type
- Full-time
About the job
About the company Our client is a fast-growing technology company. The role Raydar is recruiting for this role on behalf of our client. A hands-on senior engineer who builds and ships AI-driven software systems, sets technical direction alongside engineering leadership, and guides a team of junior engineers. The work spans core platform development, packaging software for customer-hosted deployments, and turning customer feedback into product improvements. What you'll do - Build and improve core services and runtime components in Python. - Turn loosely defined problems into working AI-driven systems, then refine them using evaluation data, traces and telemetry. - Package and deploy software in containers for customer-hosted environments. - Lead a quick-moving group of junior engineers by identifying where work stalls, ranking tasks and making design choices alongside engineering leadership. - Work with field-facing engineers to turn customer learnings into product changes. Requirements What we're looking for - Six or more years of software engineering experience, or four or more for ground-floor founding engineers and founders. - Track record of putting a modern AI agent or LLM-based product into production from start to finish. - Experience leading an engineering team or a major project, ideally at a startup. - Strong backend and infrastructure depth across Linux, Unix, containers, networking and storage. - Strong Python skills. - Solid grounding in distributed architecture, performance tuning and handling data at scale. - Has designed large system structures for server-side or infrastructure work, ideally while on an early company's leadership team. - Engineering degree in computer science, electrical engineering or electrical and computer engineering from a highly ranked engineering school. Bonus points - Hands-on experience with post-training methods for language models, such as reinforcement learning from human feedback, preference optimization or reinforcement learning for agents. - Experience with TypeScript, Rust, C++ or Go. Benefits Compensation and benefits - Base salary: USD 200,000 to 300,000 per year - Equity - Health, dental and vision coverage - Retirement plan Location and work model - San Francisco, CA, United States - On-site, 5 days in-office - Full-time
From Raydar's careers page (Workable), checked 3 Nov 2026.
How to apply
- Select Apply on apply.workable.com. It opens Raydar's own application form in a new tab, run on Workable.
- Fill in the form and upload your résumé there. Jobiwork never sees your application.
- Raydar will reply to you directly. No real employer asks you for money to apply.
Posted 3 Nov 2026 · checked 3 Nov 2026 · Report this job