Lead AI Software Engineer, AI Platform & Architecture
$180k - $225kFull-time
G-P
Role Description
We are hiring a hands-on technical leader to raise the engineering bar across our teams. You will partner with Engineering Managers and senior engineers to improve architecture, technical design, code reviews, CI/CD, infrastructure, and engineering practices. You will also remain an active individual contributor, shipping production code and leading technically complex initiatives.
This is not a traditional architect role focused on diagrams and approvals. You will build systems, create practical engineering guardrails, and help teams make better technical decisions without becoming a bottleneck.
What you will 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.
Qualifications
- 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.
Requirements
- Lead the engineering transformation to turn adhoc features into scaled robust systems.
- Setup practices for Release Lifecycle.
- Improve the quality and consistency of technical design across teams.
- Establish engineering guardrails that teams actually use.
- Reduce repeated architectural mistakes and unnecessary duplication.
- Improve developer velocity, reliability, and operational quality.
- Become a trusted technical partner to Engineering Managers and senior engineers.
Benefits
- Generous paid parental leave.
- Flexible time off.
- Spending accounts.
- Medical insurance.
- Dental insurance.
- Vision insurance.
- Sabbatical after 5 years.
- Additional compensation options for sales and non-sales roles.
Vacancy posted 6 days ago
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