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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
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
- 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
- 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
- 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