AI Engineer - Applied AI ($350-400k)
TekVizor · ·
About the Role
AI Engineer - Applied AI 📍 New York, NYC 🕒 Full-Time Employee position 🌍 U.S. Citizenship, Green Card 💰 $350,000 - $400,000 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. #AIJobs # AIcareers #AgenticAI #LLMEngineering #AIEngineer #Hiring #MachineLearning #GenerativeAI #computerscience #TechJobs #NewYork #NYC Show more Show less
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