# Senior Software Engineer

> Raydar · San Francisco, United States · Full-time · Posted 2026-11-03

**Salary:** USD 200,000–300,000

**Workplace:** on_site

## 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

## Apply

[Apply at Raydar](https://apply.workable.com/raydar/j/10AB4CE1CA/apply)

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