AI ML Engineer

National Computer Systems • Piscataway Township, NJ

4h • $60 - $70 • Remote

About The Position

The AI ML Engineer will design, build, and scale enterprise-grade AI solutions using Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), and advanced integration architectures. The role combines machine learning expertise with software engineering and systems integration to deliver production-ready AI capabilities for complex business problems at scale. Work includes intelligent copilots, AI agents, orchestration frameworks, knowledge retrieval systems, evaluation frameworks, and enterprise integrations across cloud and business platforms. The position is 100% remote and listed as long term.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, AI, Machine Learning, or a related field.
• 8–10+ years of overall AI/ML, software engineering, and distributed systems experience.
• 3–5+ years of hands-on experience building and deploying production-grade Generative AI applications.
• Strong Python development experience.
• Experience with Azure AI services, Azure OpenAI, Azure AI Search, and cloud-native architectures.
• Strong knowledge of machine learning, deep learning, NLP, LLMs, prompt engineering, RAG architectures, vector databases, and semantic search.
• Experience designing and implementing APIs and microservices.
• Strong integration experience with enterprise platforms and third-party systems.
• Experience with containerization and cloud deployment technologies.

Nice To Haves

• Experience building Agentic AI solutions and autonomous workflows.
• Experience with LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, MCP, or similar agent frameworks.
• Experience with AI evaluation frameworks such as RAGAS, DeepEval, LLM-as-a-Judge, or custom evaluation pipelines.
• Experience in healthcare, payer, insurance, or regulated industries.
• Experience with Azure Kubernetes Service (AKS), Docker, and CI/CD pipelines.
• Experience implementing responsible AI, safety, compliance, and governance controls.

Responsibilities

• Design and develop scalable AI/ML solutions using modern cloud-native architectures.
• Build and deploy Generative AI applications leveraging LLMs, RAG, vector databases, semantic search, and agentic workflows.
• Design and implement multi-agent and agent orchestration frameworks using LangGraph, AutoGen, Semantic Kernel, CrewAI, MCP, or similar technologies.
• Develop enterprise integrations with APIs, databases, messaging platforms, document repositories, and internal systems.
• Optimize AI applications for latency, scalability, cost, reliability, and accuracy.
• Implement model evaluation, observability, guardrails, and AI governance capabilities.
• Collaborate with business stakeholders, architects, product teams, and engineering teams to deliver AI-powered solutions.
• Mentor junior engineers and establish engineering best practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior