Engineer (AI Engineer)

Job Title: Software AI Engineer – Agentic AI Location: New York, NY (Onsite)Rate: ($55/hr - $57/hr)JD:Software AI Engineer – Agentic AI 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/Java script/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/Java script /Typescript ,Python, Go, APIs and services: REST, gRPC Cloud and infrastructure: AWS and/or Google Cloud Platform, Kubernetes Distributed systems: event-driven architectures, including Kafka Orchestration Frameworks: Lang Graph, Lang Chain, AirFlow, etc Integration of commercial and open-source LLMs into agentic workflows Agent and orchestration frameworks such as Lang Chain , 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)Roles & Responsibilities Drive 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.if you are interested, kindly share me your resume @