Artificial Intelligence Engineer – ($350-400k)

TekVizor; New York (NY); Hybrid; USD 350,000 - 400,000; Full time

Job summary

TekVizor in New York is seeking a Senior AI/ML Engineer to design and deploy production-grade, multi-service AI architectures. You will own end-to-end AI systems, including agent orchestration, secure workflows, and real-world constraints, with a focus on scalable infrastructure.

The role requires building complex agentic systems with LLMs and integrating data pipelines across cloud environments while delivering robust, production-ready solutions.

Qualifications

• 3+ years building agentic ML/LLM systems in production.
• Degree in Computer Science or related field.
• Experience with API design, microservices, and distributed workflows.
• Experience across cloud environments (AWS, Azure, GCP).
• Experience integrating data pipelines, messaging systems, storage.

Responsibilities

• Own architecture and deployment of full AI systems.
• Design multi-agent orchestration and tool routing.
• Build production-grade AI infrastructure, not prototypes.
• Design knowledge graph analytics for contextual reasoning.
• End-to-End AI System Design.

Skills

Agentic ML systems

LLM integration

APIs & microservices

Distributed workflows

Cloud environments

Data pipelines

Education

Degree in Computer Science

Tools

AWS

Azure

GCP

Job description

Senior AI/ML Engineer

New York, NYC (4 days in the NYC office)

Full-Time Employee position

U.S. Citizenship, Green Card

$350,000 – $400,000

About the Role

Hiring a Senior AI/ML Engineer for an early-stage, high-growth AI FinTech company. We’re 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—not prototypes relying solely on framework abstractions.
• Design knowledge graph analytics enabling agents to perform contextual reasoning.
• End-to-End AI System Design.

Desired Qualifications

• 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.