Founding AI/ML Engineer

About the Company Our client is a Series A AI infrastructure company helping enterprises deploy AI systems that are reliable, secure, observable, scalable, and production-ready. As organizations accelerate the adoption of Generative AI, they face increasing challenges around reliability, governance, latency, safety, compliance, and operational control. The company’s platform provides infrastructure, evaluation frameworks, and real-time guardrails that enable enterprises to confidently operationalize AI at scale. Their customers include Fortune 500 companies, top global banks, government agencies, and insurance companies. This is the third Forward Deployed Engineer hired globally, joining teammates in Japan and the West Coast US. This role supports customers across the East Coast US and works with 3-4 enterprise customers concurrently. You will serve as the technical bridge between enterprise customers and internal product and engineering teams, helping organizations successfully deploy AI

systems in highly regulated environments. What You’ll Own * Debug and troubleshoot complex deployment and integration challenges across customer environments while adapting solutions to real-world operational and regulatory requirements. * Work directly with customer engineering and platform teams to deploy and operationalize AI systems, including evaluation frameworks, guardrails, and observability workflows. * Design and implement integrations across enterprise AI workflows, APIs, infrastructure, and governance systems. * Translate customer deployment challenges into actionable feedback for product and engineering teams. * Partner with customer stakeholders across engineering, infrastructure, security, risk, compliance, and operations to navigate enterprise AI governance and approval workflows. Qualifications * 3-8 years of post-undergraduate professional experience (1+ year post-graduation with a Master’s degree is also acceptable). * Strong software engineering experience with distributed systems, Kubernetes, APIs, platform engineering, and enterprise integrations. * Infrastructure engineering or DevOps background at a startup, large solutions company, or consulting firm. * Customer-facing deployment experience with the ability to work directly with engineering, security, and compliance teams. * Strong scripting skills with the ability to read, understand, and write clean code. * Ability to independently navigate complex technical and organizational environments. * Available for occasional evening calls (approximately twice per week) with the India team. * Experience deploying AI/ML infrastructure in enterprise environments. * Experience supporting highly regulated industries such as financial services, healthcare, insurance, or government. * Startup experience or demonstrated ability to thrive in fast-paced, high-growth environments. * Experience working closely with enterprise customers throughout deployment and implementation.