Software Engineer / AI
Application Engineer / AI Platform Engineer
End Date: 6-months from
start date
Location:Over All USA-Onsite/Hybrid-Multiple Locations
W2 Contract Only
Interview Process: 1-2
internal video interviews & 1 client round
- The candidate should design scalable, secure,
high-performance systems, make architecture decisions, own code quality,
and guide technical direction.
- Productionization of AI Use Cases - Take AI PoCs/MVPs to production by building
scaffolding, APIs, services, integrations, pipelines, environments, and
release processes.
- AI Application Engineering, Not Deep ML No deep model-building required. Need
practical experience with RAG, agentic workflows, LLM/API integrations,
evaluation, observability, and partnering with AI Engineers.
- Azure + DevOps Delivery - Strong Azure and CI/CD experience across
infrastructure, security, identity, networking, environment management,
and deployment readiness.
- Enterprise Integration and Security - Integrate AI applications with UAIS, Optum, UHG,
and enterprise systems while meeting security, compliance, and enterprise
standards.
Hands-On
Builder Mindset - Not
a strategy-only architect. Must be able to code, review code, build services,
set up repos/pipelines, and improve engineering practices