Software AI Engineer – Agentic AI-1

New York, New York 10001 Posted April 1st, 2026 Looking for more job opportunities? Click here! Job Type: Full Time Job Category: IT Job Description **Job Title** : Software AI Engineer – Agentic AI**Location** : New York, NY (ONSITE) **FTE ONLY** **Job Description*** 10\+ years of experience building large\-scale distributed systems \+ strong experience with LLM systems, agentic workflows or advanced ML infrastructure * 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: Python, Go, TypeScript * 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 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) * 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 pro duction. * 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. Required Skills CLOUD SECURITY ENGINEER SENIOR EMAIL SECURITY ENGINEER