Applied AI & Machine Learning Engineers (Agents, LLMs, Production AI) (NY, USA)
Summary
Build and deploy production AI systems like agents, LLMs, and RAG frameworks using Python. Work on reliability, orchestration, and integration into real-time environments for trading and research impact.
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.