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Senior Software Engineer

  • San Francisco, CA, United States

$200,000 to $300,000 USD / year

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Job details

Pay
$200,000 to $300,000 USD / year
Posting language
English
Posted

Original 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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