Senior AI Systems Engineer — Build Enterprise Context Layer

davidjoseph-co

San Francisco (CA)

On-site

USD 180,000 - 200,000

Full time

8 days ago

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Job summary

Coworker is hiring a Senior Software Engineer to help build the foundation for enterprise AI across 40+ apps. You will own full-stack delivery from AI systems to conventional code, shaping early architecture and product strategy.

Located in SF or Atlanta, in-office 5 days in ATL and 4 in SF if needed; salary $180K–$200K plus equity. Must have 4–8 years of experience, AI-native development experience, Kubernetes and Google Cloud familiarity, and a CS degree.

Qualifications

  • 4–8 years of experience in full-stack software engineering.
  • AI-native development experience with strong signals (e.g., Claude/Code).
  • Bachelor's degree in Computer Science or related field.
  • Experience with AI/ML APIs, prompt engineering, local LLM deployment, high-volume inference.
  • Kubernetes / unmanaged cluster experience; GoLang, TypeScript, Python proficiency.
  • Mentoring or managing junior engineers; thrives in a startup environment.
  • Based in SF or Atlanta and willing to work on-site.

Responsibilities

  • Build and ship across the full stack from deep AI systems to traditional code.
  • Guide early technical architecture decisions scalable with the company.
  • Leverage AI in your workflow to maximize velocity and output.
  • Mentor junior engineers and help establish engineering culture.
  • Collaborate with product on vision, strategy, and roadmap.

Skills

AI development
Kubernetes
GoLang
TypeScript
Python
Prompt engineering
Local LLM deployment
High-volume inference
Mentoring

Education

Bachelor's degree in Computer Science

Tools

Google Cloud
Kubernetes

Job description

Coworker is hiring a Senior Software Engineer to help build the foundation for enterprise AI across 40+ apps. You will own full-stack delivery from AI systems to conventional code, shaping early architecture and product strategy.

Located in SF or Atlanta, in-office 5 days in ATL and 4 in SF if needed; salary $180K–$200K plus equity. Must have 4–8 years of experience, AI-native development experience, Kubernetes and Google Cloud familiarity, and a CS degree.

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