ML Engineer

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Job Details

ML Engineer

Long Term Contract

Jersey City, NJ

We are seeking a Machine Learning Engineer with expertise in agentic AI systems to design, build, and deploy next-generation AI solutions. In this role, you will work at the intersection of LLMs, autonomous agents, retrieval-augmented generation (RAG), and enterprise-scale systems, leveraging Azure AI Foundry, Copilot Studio, and modern orchestration frameworks.

You will collaborate closely with product managers, architects, and application teams to deliver intelligent, production-grade AI agents that integrate seamlessly with business workflows and enterprise data.

Key Responsibilities

• Design and implement agentic AI systems capable of planning, tool use, memory, and multi-step reasoning
• Build and deploy AI solutions using Azure AI Foundry and Copilot Studio
• Develop RAG pipelines integrating structured and unstructured enterprise data
• Implement and optimize vector databases for semantic search and long-term agent memory
• Orchestrate LLM-based agents using frameworks such as LangChain (or equivalent)
• Develop scalable backend services and APIs using Python
• Integrate AI agents with enterprise tools, APIs, and workflows
• Evaluate, monitor, and optimize agent performance, reliability, and cost
• Apply responsible AI principles including security, privacy, and governance
• Stay current with advancements in LLMs, agent architectures, and Azure AI services

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• 5+ years of experience in machine learning, AI engineering, or applied ML
• Strong proficiency in Python for ML and backend development
• Hands-on experience building LLM-based applications
• Practical experience with agentic AI patterns (tool calling, planning, memory, reflection)
• Experience with LangChain or similar agent orchestration frameworks
• Solid understanding of RAG architectures
• Experience with vector databases (e.g., Azure AI Search, Pinecone, etc.)
• Familiarity with Azure cloud services and enterprise-grade deployments
• Hands-on experience with MCP and/or A2A agent communication frameworks

Preferred Qualifications

• Direct experience with Azure AI Foundry and Copilot Studio
• Experience integrating AI agents into enterprise workflows or SaaS platforms
• Knowledge of prompt engineering, evaluation frameworks, and guardrails
• Experience with CI/CD, MLOps, or AI observability
• Understanding of security, identity, and compliance in enterprise AI systems

Nice-to-Have

• Contributions to AI prototypes, internal platforms, or open-source projects
• Experience moving AI solutions from prototype to production
• Strong communication skills and ability to explain complex AI systems to non-experts