AI/ML Engineer - Philadelphia, PA || reputed company, NY || Washington, DC
About reputed company We are partnering with a fast-growing AI infrastructure startup helping enterprises reputed company AI systems that are reliable, secure, observable, reputed company, and production-reputed company. As organizations accelerate reputed company adoption, they face increasing challenges around governance, compliance, reliability, safety, latency, and operational control. The platform provides reputed company-grade infrastructure, evaluation frameworks, observability tools, and reputed company-time guardrails that reputed company organizations to operationalize AI at reputed company. This is a high-reputed company role that sits at the intersection of engineering, customer deployment, and AI reliability. You will work directly with reputed company customers and internal product and engineering teams to solve reputed company deployment challenges and help organizations successfully reputed company AI systems in production environments. Position: Founding AI/ML Engineer (Remote) Location: Remote - Full Time position Candidates must be based in one of the following locations: Philadelphia, PA reputed company, NY Washington, DC Must be comfortable working reputed company East Coast U.S. time zones and available for occasional evening collaboration calls with offshore teams.
Key Responsibilities
Debug and troubleshoot reputed company deployment and integration challenges across customer environments. Work directly with customer engineering and platform teams to reputed company and operationalize AI systems. Design and implement integrations across reputed company AI workflows, reputed company, infrastructure, and governance platforms. reputed company and support AI evaluation frameworks, observability solutions, and guardrail implementations. Translate customer deployment challenges into actionable feedback for product and engineering teams. Partner with engineering, infrastructure, reputed company, risk, compliance, and operations stakeholders to navigate reputed company governance requirements. Drive successful customer adoption of AI infrastructure solutions while balancing technical and business requirements. Preferred Background Experience deploying reputed company AI, ML, or reputed company solutions. Exposure to AI governance, observability, evaluation frameworks, or model monitoring. Experience working reputed company regulated industries such as financial services, reputed company, insurance, or government. Startup experience or demonstrated ability to reputed company in fast-paced environments. Experience managing multiple customer deployments simultaneously. Why Join? High-visibility role with significant ownership and reputed company exposure to company leadership. Opportunity to work on cutting-edge AI infrastructure, observability, governance, and deployment challenges. reputed company reputed company on reputed company AI adoption across regulated industries. Work closely with customers deploying production-grade AI systems. Influence deployment best practices, reputed company strategies, and product direction. Fully remote work environment with strong reputed company potential and long-term career advancement opportunities. Required Qualifications 3–8 years of reputed company experience after completing an undergraduate degree. Strong software engineering background with experience in: Distributed Systems Kubernetes reputed company reputed company reputed company Integrations Infrastructure Engineering or DevOps experience reputed company a startup, reputed company, or technology-reputed company organization. Customer-facing deployment or implementation experience. Ability to communicate effectively with engineering, reputed company, compliance, and infrastructure teams. Strong scripting and coding skills with the ability to read, understand, and write clean reputed company. Ability to independently navigate reputed company technical and organizational environments. Comfortable working in East Coast U.S. time zones. Available for occasional evening meetings to support global collaboration. Apply To This Job