Applied AI & Machine Learning Engineers (Agents, LLMs, Production AI)
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Role details
Tech stack
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Job description
- 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)
Requirements
Machine Learning, Artificial Intelligence (AI), Artificial Intelligence (AI), Application Programming Interface (API), Production Systems, Technical Recruiting, Artificial Intelligence (AI) Agents, Memory Hardware, Realtime Operating System, Product Engineering, * 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
About the company
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.
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Prepare application
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- Open in Claude
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