Lead AI Software Engineer, AI Platform – Architecture

This is a fully remote position, open to applicants in United States.

📋 Description

• Define and enhance architectural and engineering practices across various teams.

• Collaborate with Engineering Managers and technical leaders to make informed decisions on complex system designs.

• Lead the creation of technical designs, RFCs, architecture reviews, and critical code assessments.

• Develop and deploy production systems in AI, backend, cloud, infrastructure, and full-stack applications.

• Enhance CI/CD processes, testing, observability, reliability, security, and overall developer experience.

• Create reusable platforms, libraries, reference implementations, and streamlined workflows for teams.

• Assist in the design and operation of production AI systems, covering model integration, orchestration, retrieval, evaluation, and monitoring.

• Contribute to cloud infrastructure and tackle complex production challenges.

• Mentor engineers and elevate technical standards through active leadership.

• Ensure the sustained effectiveness of engineering standards post-implementation.

• Drive the transformation of engineering practices from ad hoc features to scalable, resilient systems.

• Establish release lifecycle practices.

• Enhance the quality and consistency of technical designs across teams.

• Set engineering guardrails to minimize recurring architectural errors and duplication, while boosting developer velocity, reliability, and operational quality.

• Act as a trusted technical advisor to Engineering Managers and senior engineers.

⛳️ Requirements

• Over 15 years of experience in architecture.

• Experience as a Founding Engineer in scaling startups.

• Ability to influence multiple teams without formal authority.

• Resourceful and independent, capable of managing and executing projects across teams.

• Extensive experience in designing, building, and maintaining production software systems.

• In-depth knowledge of AI systems, backend or distributed systems, infrastructure, and cloud architecture.

• Practical understanding of foundation models, inference, retrieval, orchestration, evaluation, latency, and cost considerations.

• Strong proficiency in full-stack development.

• Familiarity with Python, Go, TypeScript, Kubernetes, and major cloud platforms.

🏝️ Benefits

• Competitive compensation package.

• Generous paid parental leave policy.

• Flexible time-off options.

• Spending accounts for various needs.

• Comprehensive medical insurance coverage.

• Dental insurance benefits.

• Vision insurance options.

• Opportunity for a sabbatical after five years of service.

• Annual bonus for non-sales positions, based on individual and company performance.