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About the Role
Partnering with a fast-growing AI infrastructure startup that helps enterprises deploy reliable, secure, observable, scalable, and production-ready AI systems. This high-impact role sits at the intersection of engineering, customer deployment, and AI reliability, solving complex deployment challenges and helping organizations successfully deploy 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.
Requirements
- 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 in 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.
Skills
- AI infrastructure
- Generative AI
- AI governance
- AI observability
- AI evaluation frameworks
- Model monitoring
- Distributed Systems
- Kubernetes
- APIs
- Platform Engineering
- Enterprise Integrations
- Infrastructure Engineering
- DevOps
- Scripting
- Coding
Location
- Remote
- Philadelphia, PA
- New York City, NY
- Washington, DC
Work Type
- Remote
- Full Time
Experience Level
- 3-8 years of professional experience
Benefits
- Fully remote work environment
- Strong growth potential
- Long-term career advancement opportunities
About the Company
- Fast-growing AI infrastructure startup helping enterprises deploy AI systems that are reliable, secure, observable, scalable, and production-ready.
- The platform provides enterprise-grade infrastructure, evaluation frameworks, observability tools, and real-time guardrails that enable organizations to operationalize AI at scale.