Senior Software Engineer

Full-time · Mid / senior

  • San Francisco · CA
  • Posted 7 days ago
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Job description

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

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