TekVizor is the bridge that connects top technology talent with the most cutting edge companies.  We utilize a Full Desk recruitment approach that allows us to engage our clients and candidates throughout the recruiting lifecycle, making for a seamless and successful experience. 

Areas of technology recruiting

Data Science & Analytics
•	Machine Learning "ML"
•	Advanced Analytics
•	Business Intelligence
•	Deep Learning
•	Artificial Intelligence "AI"
•	Computer Vision

Cloud Solutions & Infrastructure
•	Big Data
•	Cloud Architect 
•	Data Architecture
•	Data Engineering
•	Database Administration
•	Cyber Security

Product Management 
•	Technical Product Manager
•	Product Policy
•	Marketing Analytics
•	Digital Analytics
•	Program Management

Services
•	Retained search
•	Contingent recruiting
•	Advanced sourcing

Industry: Staffing and Recruiting
Company Size: 2-10 employees

TekVizor

Savvy Admin PROD

**AI Engineer - Machine Learning **

📍 New York, NYC

🕒 Full-Time Employee position

🌍 U.S. Citizenship, Green Card

💰 $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’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 **

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

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