AI Engineer

US staffing Inc; New York (NY); On-site; USD 130,000 - 170,000; Full time

Job summary

US staffing Inc is seeking a highly experienced engineer to build and manage large-scale distributed systems, particularly focusing on AI-driven solutions.

Ideal candidates will have over 10 years of experience, particularly in environments utilizing large language models and advanced machine learning infrastructure. Strong understanding of tool use, memory, and evaluation in agentic workflows is crucial.

Qualifications

• 10+ years of experience building large-scale distributed systems.
• Strong experience with large language model (LLM) systems and agentic workflows.
• Recent experience in Node.js, JavaScript, or TypeScript.

Skills

Large-scale distributed systems

Large language model (LLM) systems

Node.js

JavaScript

TypeScript

APIs

AWS

GCP

Kubernetes

Kafka

PyTorch

TensorFlow

Pydantic

Zod

Job description

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 TypeScript
• 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, 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 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 (a plus)