San Francisco Bay Area · noida · full time · mid level
## About the role Join Lance as a Founding AI Infrastructure Engineer, where you'll architect and build core AI/ML infrastructure powering our next-generation platform. You'll collaborate closely with founders and a high-caliber engineering team, owning critical systems from inception to production and shaping the technical direction of the company. ## What you'll do - Design, build, and scale AI/ML infrastructure, including LLM systems and distributed backend services. - Develop and maintain high-throughput, low-latency production systems with a focus on reliability and infra ownership. - Implement and optimize inference infrastructure, agentic workflows, and model evaluation pipelines. - Own cloud infrastructure (AWS, GCP, or Azure), ensuring robust deployment and monitoring practices. - Build and maintain CI/CD pipelines tailored for ML systems and model deployment. - Collaborate with cross-functional teams to define system architecture and deliver 0→1 solutions in a fast-paced startup environment. - Drive observability, monitoring, and debugging practices for distributed systems. - Contribute to the development of APIs, databases, and developer tools supporting AI applications. ## What we're looking for - 2-6 years of professional experience in software engineering, ideally at high-bar AI companies or top startups. - Proven experience building AI/ML infrastructure, LLM systems, or distributed backend systems at scale. - Strong coding fundamentals and hands-on experience with production systems (high throughput, low latency, reliability). - Proficiency with cloud infrastructure (AWS, GCP, or Azure) and modern engineering practices. - Deep understanding of APIs, databases, distributed systems, and system design. - Experience with Kubernetes, CI/CD for ML systems, and observability tools. - Familiarity with LLM infrastructure, inference systems, agentic workflows, or model evaluation/safety/alignment. - Strong ownership mentality and ability to thrive in fast-moving, early-stage startup environments. ## Nice to have - Previous experience as a Founding Engineer or in 0→1 startup roles. - Background at top-tier AI companies (e.g., OpenAI, Anthropic, Google/DeepMind, Databricks, Meta, AWS, Scale AI, etc.) or high-growth VC/YC-backed startups. - Top-tier CS academic background (Stanford, MIT, Berkeley, CMU, etc.). - Experience with code generation, copilots, or developer tools. - Exposure to model safety, alignment, or advanced ML pipelines. ## What you'll get - Opportunity to shape the technical foundation and culture of a high-growth AI startup. - Significant ownership and impact on product and infrastructure decisions. - Work alongside a world-class, mission-driven team. - Exposure to cutting-edge AI/ML technologies and modern engineering practices. - Fast-paced environment with opportunities for rapid professional growth. ## How to apply Apply directly using the link — our AI interview will be the first step.