Applied AI & Machine Learning Engineers (Agents, LLMs, Production AI) (NY, USA)

Position: Applied AI & Machine Learning Engineers (Agents, LLMs, Production AI)

Location: New York / U.S. (some hybrid or onsite roles)

Compensation: ~$200K – $1M+ total comp

Overview

These are not “prompt engineer” roles.

We’re hiring engineers building real AI systems in production—agents, LLM platforms, and intelligent systems that directly impact trading, research, and decision-making. If you’ve actually shipped AI systems (not just played with APIs), this is your lane.

What You’ll Work On

• Designing and building AI agents with memory, tools, and workflows
• Integrating LLMs into real production systems
• Building evaluation, monitoring, and reliability frameworks
• Developing RAG systems, orchestration layers, and AI infrastructure
• Deploying models into high-stakes, real-time environments
• Collaborating with researchers, traders, and product teams

Role Variations

This posting covers multiple directions:

• Applied AI Engineers (end-to-end AI systems)
• AI Agents Engineers (agentic frameworks + production systems)
• ML Engineers / Researchers (model development + infrastructure)
• AI Product Engineers / Technical PMs (AI + product hybrid roles)

What We’re Looking For

• 5+ years in software engineering + hands-on AI experience
• Strong Python skills in production environments
• Experience deploying LLMs / ML models into real systems
• Understanding of system reliability, latency, and scaling
• Ability to move from prototype → production → optimization
• Bonus: experience with agent frameworks, RAG, or distributed systems

Agile Staffing is a leading recruitment firm supporting healthcare organizations across North America. We specialize in delivering experienced, hard-to-find talent to hospitals and healthcare systems through strong partnerships, high-integrity service, and modern recruitment practices. Our team is passionate about connecting great people with great organizations and building long-term success for both.