Job Title: AI Platform Engineer
Location: Warren, MI.
Job Type: W2 Contract | NO C2C | NO CORP-TO-CORP
Expected hours per week: 40 hours per week
Schedule: onsite
Pay Range: $71-75 an hour
Job Description:
Assist in the software engineering production of artificial intelligence product.
Support the development operations and release management of artificial intelligence products and our portfolio of products.
Test features and capabilities to ensure that product quality preserves and builds system credibility through reliability.
Coding is required for this role.
Resource Qualifications
6+ years in Infrastructure, SRE, or Core Platform Engineering with a heavy focus on distributed systems.
Advanced Kubernetes & Helm: Deep understanding of the K8s control plane, custom controllers/CRDs, and experience tuning stateful sets or long-lived connection routing.
Production Python (FastAPI/Uvicorn): Expert-level knowledge of Python’s memory management, asyncio event loops, and tuning ASGI servers for high-concurrency gateway flows.
Advanced Load Testing Execution: Proven experience using k6 or Locust to test stateful systems, handle dynamic session tokens, and mock asynchronous backend workers.
CI/CD & Container Hardening: Hands-on automation experience with GitHub Actions targeting Azure Container Registry (ACR) or similar enterprise registries, and Azure Kubernetes Service (AKS)
LLM Infra Literacy: Deep conceptual understanding of tool-calling, agent memory architectures, state graphs, and the operational differences between token-streaming vs. unary API calls.
Preferred Qualifications
Service Mesh Mastery: Production experience with Istio, Linkerd, or Cilium for advanced A2A traffic splitting, mutual TLS (mTLS), and zero-trust enforcement.
Agent Sandboxing: Experience with secure container runtimes (e.g., gVisor, Kata Containers) for running unverified user-generated tool code or agent scripts.
Chaos Engineering: Experience injecting failures into asynchronous message queues or mocking LLM API timeouts to prove graph recovery safety.
MUST HAVE SKILLS:
1. AI Driven development experience- AI engineering, coding
2. React & Python
3. Ability to leverage all AI tools to accelerate their development
Benefits: 80 hours paid time off, medical insurance contributions, dental vision and our 401k retirement savings plan
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