Lead AI Engineer - Hybrid GA - Any Visa Except OPT, CPT, GC - 12+ Years - Healthcare Domain Must

[Peter .parker]

Job Title: Senior Development Lead – AI Engineer (LLMs, RAG & Agentic AI)

Location: Onsite or Hybrid. Atlanta, GA.

Visa: Any Except GC 
Experience - 12+ Years 
Relocation Works 

** Must Have Healthcare Domain**

Role Summary:
We are seeking a Senior Development Lead – AI Engineer with 12+ years of overall software development experience and deep expertise in Python, Large Language Models (LLMs), LangChain, LangGraph, and Retrieval-Augmented Generation (RAG). This role is both hands-on and leadership-focused, responsible for architecting enterprise-scale AI platforms, leading AI engineering teams, and delivering secure, scalable, production-ready AI solutions.

Key Responsibilities:

• Lead architecture, design, and development of enterprise AI and LLM-powered solutions
• Own and design RAG architectures integrating structured and unstructured data sources
• Build and orchestrate agentic and multi-agent workflows using LangChain and LangGraph
• Drive Python-based backend development for AI services and APIs
• Evaluate, integrate, and optimize LLMs (OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, Google Vertex AI)
• Establish best practices for prompt engineering, memory, tool usage, and agent orchestration
• Lead and mentor senior engineers, AI engineers, and developers
• Partner with product, architecture, data, and cloud teams to deliver business-aligned AI solutions
• Ensure solutions meet performance, scalability, security, and compliance standards
• Review architecture and code, enforce engineering standards, and ensure delivery excellence
• Guide CI/CD pipelines, cloud deployment, monitoring, and observability for AI workloads

Required Technical Skills
Core AI & Development

• 12+ years of overall software development experience
• Python (expert level) – building large-scale, production-grade systems
• Large Language Models (LLMs) – prompt design, context management, inference optimization
• LangChain – chains, agents, tools, retrievers, memory
• LangGraph – stateful workflows and multi-agent orchestration
• Retrieval-Augmented Generation (RAG) – end-to-end design and optimization
• AI, Data & Search
• Vector databases: FAISS, Pinecone, Weaviate, Chroma, OpenSearch
• Embeddings, semantic search, ranking, and chunking strategies
• Document ingestion pipelines and metadata enrichment
• Model evaluation, grounding techniques, and hallucination reduction
• Backend, Cloud & DevOps
• API and microservices frameworks: FastAPI, Flask
• Cloud platforms: AWS, Azure, GCP
• Containers & orchestration: Docker, Kubernetes
• CI/CD pipelines, Git-based workflows, DevOps best practices

Leadership & Professional Skills

• Proven experience as a Development Lead / Technical Lead / Architect
• Ability to lead cross-functional AI engineering teams
• Strong system design and architectural decision-making skills
• Excellent communication with engineering leadership and business stakeholders
• Ownership-driven mindset with a focus on delivery, quality, and scale

Preferred / Nice-to-Have

• Experience with Agentic AI frameworks and supervisor-agent patterns
• Exposure to MCP servers, AI orchestration platforms, or AI middleware
• Experience integrating AI solutions with enterprise systems (CRM, ERP, Contact Centers)
• Knowledge of AI governance, security, and responsible AI practices
• Experience with real-time or voice-based AI systems