Contract Role: SENIOR AI ENGINEER_ NY/NJ, Columbus or Dallas(On-Site)

Job Title: SENIOR AI ENGINEER Location: NY/NJ, Columbus or Dallas (On-Site) Job Type: Contract Role Level Senior Engineer (VP-equivalent) The client is a technology organization operating at the scale of a major financial enterprise, building AI agents that serve millions of customers directly. This is not a chatbot bolt-on or an innovation-lab experiment: the client's agentic platform sits in the production path of real customer conversations, with the reliability, latency, and safety bar that implies. Mandatory Skills: • 7+ years of software engineering experience, with senior/lead-level ownership of production systems. • Proven hands-on delivery of LLM-based agentic systems in production — not coursework, not POCs. The interview covers the architecture, failure modes, and eval strategy of a shipped system. • Strong Python (primary agent/ML stack) and Java (service integration) — both are daily-use languages here. • Depth in the standard agent stack: LangChain, LangGraph, prompt/context engineering, tool/function calling, RAG pipelines. • Working knowledge of PyTorch and model fundamentals — enough to fine-tune, debug model behavior, and reason about tradeoffs. • Experience with LLM serving/inference — vLLM or comparable (TGI, TensorRT-LLM), plus commercial APIs (OpenAI, Anthropic, Bedrock/Vertex). • Solid distributed-systems fundamentals: APIs, queues, caching, observability, CI/CD. Major Plus • Hands-on experience with agent-builder platforms such as Sierra or Decagon — deploying, extending, or evaluating them for customer-service use cases. • Voice agents, real-time/streaming inference, or contact-center integration. • Experience in regulated industries (finance, healthcare) — model risk, compliance review, audit trails. • Eval frameworks (LangSmith, Braintrust, custom harnesses) and LLM safety/guardrail tooling. Thanks and Regards NANI Email: Nani.venu@technosphere.com