> Markdown version of [/jobs/ext/4605765-applied-ai-machine-learning-engineers-agents-llms-production-ai](https://www.wearedevelopers.com/jobs/ext/4605765-applied-ai-machine-learning-engineers-agents-llms-production-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

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

- **Company:** AGILE RECRUITMENT LLC
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $200,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Distributed Systems, Python (Programming Language), Machine Learning, Software Product Management, Real-Time Operating Systems, Software Engineering, Systems Integration, AI Infrastructure, Retrieval-Augmented Generation, Large Language Models, Reliability of Systems, Agentic-AI, Machine Learning Operations
- **Published:** November 6, 2026
- **Apply:** https://www.careerbuilder.com/job-details/applied-ai-machine-learning-engineers-agents-llms-production-ai-ny--682b284d-5f55-4856-bec5-39a755d871e0

## About the Role

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

## 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)