[Remote] AI/ML Engineer - Philadelphia, PA || New York City, NY || Washington, DC

Note: The job is a remote job and is open to candidates in USA. Hudson IT and Manpower is partnering with a fast-growing AI infrastructure startup that helps enterprises deploy reliable and secure AI systems. The Founding AI/ML Engineer will work directly with enterprise customers to solve complex deployment challenges and operationalize AI systems in production environments.

Responsibilities

• Debug and troubleshoot complex deployment and integration challenges across customer environments
• Work directly with customer engineering and platform teams to deploy and operationalize AI systems
• Design and implement integrations across enterprise AI workflows, APIs, infrastructure, and governance platforms
• Deploy 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, security, risk, compliance, and operations stakeholders to navigate enterprise governance requirements
• Drive successful customer adoption of AI infrastructure solutions while balancing technical and business requirements

Skills

• 3–8 years of professional experience after completing an undergraduate degree
• Strong software engineering background with experience in: Distributed Systems, Kubernetes, APIs, Platform Engineering, Enterprise Integrations
• Infrastructure Engineering or DevOps experience within a startup, consulting firm, or technology-focused organization
• Customer-facing deployment or implementation experience
• Ability to communicate effectively with engineering, security, compliance, and infrastructure teams
• Strong scripting and coding skills with the ability to read, understand, and write clean code
• Ability to independently navigate complex technical and organizational environments
• Comfortable working in East Coast U.S. time zones
• Available for occasional evening meetings to support global collaboration
• Experience deploying enterprise AI, ML, or Generative AI solutions
• Exposure to AI governance, observability, evaluation frameworks, or model monitoring
• Experience working within regulated industries such as financial services, healthcare, insurance, or government
• Startup experience or demonstrated ability to thrive in fast-paced environments
• Experience managing multiple customer deployments simultaneously

Benefits

• High-visibility role with significant ownership and direct exposure to company leadership.
• Opportunity to work on cutting-edge AI infrastructure, observability, governance, and deployment challenges.
• Direct impact on enterprise AI adoption across regulated industries.
• Work closely with customers deploying production-grade AI systems.
• Influence deployment best practices, customer success strategies, and product direction.
• Fully remote work environment with strong growth potential and long-term career advancement opportunities.

Company Overview