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AI Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: US staffing Inc
Full Time position
Listed on 2026-07-06
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 130000 - 170000 USD Yearly USD 130000.00 170000.00 YEAR
Job Description & How to Apply Below
Location: New York

Location:

New York, NY / Phoenix, AZ / Sunrise, FL – Onsite

Qualifications
  • 10+ years of experience building large-scale distributed systems
  • Strong experience with large language model (LLM) systems, agentic workflows, or advanced machine learning infrastructure
  • Recent experience in Node.js, JavaScript, or Type Script
  • 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, asynchronous processing, queues, and streaming systems
  • Languages:

    Node.js, JavaScript, Type Script, Python, Go
  • APIs and services: REST, gRPC
  • Cloud and infrastructure: AWS and/or GCP, Kubernetes
  • Distributed systems: event-driven architectures, including Kafka
  • Orchestration frameworks:
    Lang Graph, Lang Chain, Air Flow, etc.
  • Integration of commercial and open-source LLMs into agentic workflows
  • Agent and orchestration frameworks such as Lang Chain, Llama Index, 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 Tensor Flow
  • Strong schema validation and state management practices using tools such as Pydantic (Python) and Zod (Type Script)
  • 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 (a plus)
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