AI/ML Engineer

Hudson IT and Manpower

Founding AI/ML Engineer deploying enterprise-grade AI infrastructure for successful AI system production. Collaborating with engineering, product teams, and enterprise customers to overcome complex challenges.

Posted 6/12/2026full-timeRemote • District of Columbia, New York, Pennsylvania • 🇺🇸 United StatesMid-LevelSenior💰 $80,000 - $120,000 per yearWebsite

Tech Stack

Tools & technologies

Distributed SystemsKubernetes

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

Fully remote work environment with strong growth potential and long-term career advancement opportunities
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
Influence deployment best practices, customer success strategies, and product direction

ATS Keywords

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Hard Skills & Tools

Distributed SystemsKubernetesAPIsPlatform EngineeringEnterprise IntegrationsInfrastructure EngineeringDevOpsScriptingCodingAI Systems

Soft Skills

CommunicationCustomer-facingProblem-solvingCollaborationIndependenceAdaptabilityFeedbackTechnical understandingOrganizational navigationCustomer adoption