[Hiring] AI ML Engineer @National Computer Systems

Role Description

We are seeking a highly skilled Senior AI/ML Engineer to design, build, and scale enterprise-grade AI solutions powered by Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), and advanced integration architectures. The ideal candidate combines strong machine learning expertise with deep software engineering and systems integration experience to deliver production-ready AI capabilities that solve complex business problems at scale. This role will focus on building intelligent copilots, AI agents, agent orchestration frameworks, knowledge retrieval systems, evaluation frameworks, and enterprise integrations across cloud and business platforms.

Key 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.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, AI, Machine Learning, or related field.
• 8-10+ years of software engineering and AI/ML experience.
• 3-5+ years of experience building 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
  • 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.

Preferred Qualifications

• 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.

Technical Skills

• Programming:
  • Python
  • SQL
  • REST APIs
• AI/ML:
  • Generative AI
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Agentic AI
  • NLP
  • Deep Learning
• Cloud & Platforms:
  • Azure OpenAI
  • Azure AI Search
  • Azure Machine Learning
  • Azure Functions
  • AKS
  • Azure Data Services
• Frameworks:
  • LangChain
  • LangGraph
  • Semantic Kernel
  • AutoGen
  • MCP
  • CrewAI