Senior Software Engineer
Confirmed on the employer's own hiring board on Nov 3, 2026. First seen by Alion on Nov 3, 2026.
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