Software AI Engineer – Agentic AI
Role summary
We are seeking a Software AI Engineer specializing in Agentic AI to join our team in New York, NY. This full-time, onsite role requires a minimum of 10 years of experience in building large-scale distributed systems, with a strong focus on LLM systems, agentic workflows, or advanced ML infrastructure. The ideal candidate will have proven ownership of complex, cross-cutting agentic systems, deep experience across the agentic AI stack (planning, tool use, memory, evaluation), and fluency with AI-assisted development workflows. Responsibilities include driving technical direction, designing and operating production-grade agentic AI systems, evolving shared capabilities, and mentoring senior engineers. Strong engineering fundamentals in backend systems, APIs, data pipelines, and cloud infrastructure are essential, along with proficiency in Python, Go, TypeScript, cloud platforms (AWS/GCP), Kubernetes, and orchestration frameworks like LangChain.
New York, New York 10001 Posted March 30th, 2026
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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