Nonstop Administration & Insurance Services

AI Engineer

• Design and ship agentic systems using dynamic tool-calling agents, structured Pydantic outputs, governed tool catalogs, per-step verification, grounding checks, LLM-as-judge, human-in-the-loop, and bounded auditable loops
• Build the RAG layer, including document ingestion, chunking, embeddings, hybrid retrieval, reranking, access scoping, and injection/poisoning defenses
• Operate self-hosted inference at scale with vLLM and embedding/rerank services on EKS GPU nodes
• Optimize inference throughput using continuous batching, prefix caching, quantization, and KV-cache tuning
• Enforce fair-share concurrency across tenants
• Own the MLOps and governance plane, including offline evaluation harnesses, golden sets, quality scoring, canary/gray releases, auto-rollback, cost/budget governance, and observability
• Make systems production-safe through durable state, circuit breakers, retries, PHI-safe logging/redaction, RBAC, fail-closed defaults, and horizontal AWS scalability via Terraform
• Extend the platform to new domains from problem framing through governed, evaluated, deployed services
• Mentor engineers on building initiatives on the shared platform foundation
• Maintain clean, typed, tested code and participate in thoughtful design reviews
• Balance autonomy and determinism for high-stakes tasks

Senior ML / AI Engineer