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G-P

Lead AI Software Engineer, AI Platform & Architecture

RemoteUnited States only
Published
Role
AI / ML
Experience
Lead
Employment
Full-time
$180k–$225k/yr
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

Lead-level hands-on AI/software architecture engineer in the United States. Needs 15+ years in architecture, startup scaling experience, and deep AI systems plus backend/distributed systems, cloud/infrastructure, full-stack, Python, Go, TypeScript, Kubernetes, and major cloud platforms.

Core skills

PythonKubernetesAI systems

Required skills

GoTypeScriptCloud platforms

What you'll do

  • Define and evolve architecture and engineering practices across multiple teams.
  • Partner with Engineering Managers and technical leads on complex system-design decisions.
  • Lead technical designs, RFCs, architecture reviews, and critical code reviews.
  • Build and ship production systems across AI, backend, cloud, infrastructure, and full-stack applications.
  • Improve CI/CD, testing, observability, reliability, security, and developer experience.
  • Create reusable platforms, libraries, reference implementations, and paved roads for teams.
  • Help design and operate production AI systems, including model integration, orchestration, retrieval, evaluation, and monitoring.
  • Contribute to cloud infrastructure and help resolve complex production issues.
  • Mentor engineers and raise technical quality through hands-on leadership.
  • Ensure engineering standards remain effective after they are introduced.

What they require

  • 15+ years of experience in architecture.
  • Founding Engineer experienced with scaling startups.
  • Ability to influence multiple teams without relying on formal authority.
  • Resourceful and independent to own and operate across teams and individual projects.
  • Strong experience designing, building, and operating production software systems.
  • Deep expertise in AI systems, backend or distributed systems, infrastructure and cloud architecture.
  • Practical understanding of modern AI systems, including foundation models, inference, retrieval, orchestration, evaluation, latency, and cost.
  • Strong working knowledge of full-stack development.
  • Experience with Python, Go, TypeScript, Kubernetes, and major cloud platforms.

Benefits

  • Competitive compensation and benefits.
  • Variable compensation.
  • Annual bonus for non-sales roles, dependent on individual and company performance and other factors.
  • Generous paid parental leave.
  • Flexible time off.
  • Spending accounts.
  • Medical insurance.
  • Dental insurance.
  • Vision insurance.
  • Sabbatical after 5 years.
  • Reasonable accommodations for individuals with disabilities during the interview process.

G-P

G-P is a SaaS-based Global Employment Platform™ focused on enabling global business and supporting remote-first teams.

SaaS

Details

Apply routeGreenhouse
$180k–$225k/yr