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TekVizor Linkedin 路 Posted 17d ago

AI Engineer - Machine Learning ($230-250k base)

New York City, New York, United States

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AI Engineer - Machine Learning


馃搷 New York, NYC

馃晵 Full-Time Employee position

馃實 U.S. Citizenship, Green Card

馃挵 $230,000 - $250,000 base salary range


About the Role

Hiring a Senior AI Engineer for an early-stage, high-growth AI FinTech company. We鈥檙e building an enterprise-grade platform and we need highly curious, hard-working self-starters.

This role is for senior-level builders who design, architect, and ship production-grade AI systems.

You will own the design and delivery of complex, multi-service AI architectures involving agent orchestration, secure workflows and real-world operational constraints.


What You Will Do

  • Own the architecture, design, and implementation of full AI systems, including: Multi-Agent, distributed system architecture, workflow, agent orchestration, tool use, code execution, retrieval, KV cache management, routing, batching, multi-step planning loops.
  • Proven experience designing and deploying complex agentic systems using LLMs.
  • Hands-on design with multi-agent orchestration, routing, and tool orchestration.
  • Your work goes far beyond prompts or app-level features. You will architect platforms and sustainable AI infrastructure.
  • You will build real, production agents鈥攏ot prototypes relying solely on framework abstractions.
  • Design knowledge graph analytics enabling agents to perform contextual reasoning.
  • End-to-End AI System Design.


Desired Qualifications

  • 5+ years working professionally as a Machine Learning Engineer or Systems Engineer.
  • 3+ years building and deploying Agentic, ML / LLM-powered systems in production environments.
  • Degree in Computer Science or similar.
  • Build APIs, microservices, and distributed workflows.
  • Work across cloud environments (AWS, Azure, GCP)
  • Ability to integrate data pipelines, messaging systems, and storage layers.
  • You are as comfortable with backend architecture as with LLM integration.


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