Information Technology_USA - USA_Engineer

**Please strictly adhere to the following resume naming convention:ALL CAPS, NO SPACES B/T UNDERSCORESPTN_US_GBAMSREQID_CandidateBeelineIDi.e. PTN_US_9999999_SKIPJOHNSON0413: -/hrMSP Owner: Subhashree samalLocation: Phoenix, AZ - onsiteDuration: 6 monthsGBaMS ReqID: 10892027AI Engineer (LS) PHX - Engineer IIAI Engineer - Agentic AI, Node JsDrive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design. • Design, build, and operate production-grade agentic AI systems used across multiple products. • Own and evolve shared agentic AI capabilities, including: • Agent frameworks and orchestration layers • Planning, tool use, and memory strategies • Retrieval and grounding (RAG) pipelines • LLM infrastructure, inference, and model gateways • Evaluation, observability, and safety tooling for autonomous systems • Lead technical design reviews and help teams navigate tradeoffs involving autonomy, safety, reliability, scalability, and cost. • Partner across teams to deliver complex, cross-cutting agentic AI initiatives from concept to production. • Evaluate emerging models, techniques, and agentic patterns and translate them into practical, enterprise-ready improvements. • Mentor senior engineers and raise the technical bar for agentic AI development through example and influence.10+ years of experience building large-scale distributed systems + strong experience with LLM systems, agentic workflows or advanced ML infrastructure • AI engineers with recent NodeJS/Javascript/Typescript experience • Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products. • Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure. • Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation. • Fluency with AI-assisted and agentic development workflows. • Comfort operating in ambiguous problem spaces and translating them into shipped, reliable autonomous systems. • Ability to influence technical direction and align teams without formal authority. • Experience in workflow engines, async processing, queues, and streaming systems. • Languages: NodeJS/Javascript/Typescript,Python, Go • APIs and services: REST, gRPC • Cloud and infrastructure: AWS and/or GCP, Kubernetes • Distributed systems: event-driven architectures, including Kafka • Orchestration Frameworks: LangGraph, LangChain, AirFlow, etc • Integration of commercial and open-source LLMs into agentic workflowsRole Descriptions: 10 years of experience building large-scale distributed systems strong experience with LLM systems| agentic workflows or advanced ML infrastructure AI engineers with recent NodeJSJavascriptTypescript experience Proven ownership of complex| cross-cutting agentic systems spanning multiple teams or products. Strong engineering fundamentals across backend systems| APIs| data pipelines| and cloud infrastructure. Deep experience across the agentic AI stack| including planning| tool use| memory| and evaluation. Fluency with AI-assisted and agentic development workflows. Comfort operating in ambiguous problem spaces and translating them into shipped| reliable autonomous systems. Ability to influence technical direction and align teams without formal authority. Experience in workflow engines| async processing| queues| and streaming systems. Languages NodeJSJavascriptTypescript|Python| Go APIs and services REST| gRPC Cloud and infrastructure AWS andor GCP| Kubernetes Distributed systems event-driven architectures| including Kafka Orchestration Frameworks LangGraph| LangChain| AirFlow| etc Integration of commercial and open-source LLMs into agentic workflows Agent and orchestration frameworks such as LangChain| LlamaIndex| Semantic Kernel| or CrewAI| with strong judgment about when to use frameworks versus building lighter-weight primitives Model-level work using PyTorch and the Hugging Face ecosystem (embeddings| fine-tuning| inference tooling)| with some exposure to TensorFlow Strong schema| validation| and state management practices using tools such as Pydantic (Python) and Zod (TypeScript) Experience building agentic systems in fintech or other regulated industries. Experience as a founding engineer or early technical leader in AI-driven products. Demonstrated success delivering technically complex autonomous systems that customers actively rely on. Meaningful contributions to open-source AI or agentic frameworks. Familiarity with fine-tuning| model optimization and inference pipelines is a plus.Essential Skills: 10 years of experience building large-scale distributed systems strong experience with LLM systems| agentic workflows or advanced ML infrastructure AI engineers with recent NodeJSJavascriptTypescript experience Proven ownership of complex| cross-cutting agentic systems spanning multiple teams or products. Strong engineering fundamentals across backend systems| APIs| data pipelines| and cloud infrastructure. Deep experience across the agentic AI stack| including planning| tool use| memory| and evaluation. Fluency with AI-assisted and agentic development workflows. Comfort operating in ambiguous problem spaces and translating them into shipped| reliable autonomous systems. Ability to influence technical direction and align teams without formal authority. Experience in workflow engines| async processing| queues| and streaming systems. Languages NodeJSJavascriptTypescript|Python| Go APIs and services REST| gRPC Cloud and infrastructure AWS andor GCP| Kubernetes Distributed systems event-driven architectures| including Kafka Orchestration Frameworks LangGraph| LangChain| AirFlow| etc Integration of commercial and open-source LLMs into agentic workflows Agent and orchestration frameworks such as LangChain| LlamaIndex| Semantic Kernel| or CrewAI| with strong judgment about when to use frameworks versus building lighter-weight primitives Model-level work using PyTorch and the Hugging Face ecosystem (embeddings| fine-tuning| inference tooling)| with some exposure to TensorFlow Strong schema| validation| and state management practices using tools such as Pydantic (Python) and Zod (TypeScript) Experience building agentic systems in fintech or other regulated industries. Experience as a founding engineer or early technical leader in AI-driven products. Demonstrated success delivering technically complex autonomous systems that customers actively rely on. Meaningful contribute.