Only W2: Agentic AI Engineer Applied AI Platforms | In-Person Client Interview in Arizona

Role: Senior Agentic AI Engineer Applied AI Platforms
Location: Remote
Experience: 8+ Years
In-Person Client Interview in Arizona

Mandatory Skills: Python, Generative AI, LLMs, Agentic AI, LangChain/LangGraph/CrewAI/AutoGen, RAG, Vector Databases, OpenAI/Claude, Cloud Platforms (AWS/Azure/Google Cloud Platform).

Experience with Claude MCP is mandatory.

Job Description

We are seeking a Senior Agentic AI Engineer with strong experience in Generative AI, LLMs, RAG, and AI Agent frameworks to design and build enterprise-grade AI applications and autonomous workflows.

Required Skills

• 8+ years of Software Engineering experience
• 2+ years of hands-on Generative AI / LLM application development
• Strong Python programming skills
• Experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar frameworks
• Expertise in RAG (Retrieval-Augmented Generation)
• Experience with Vector Databases such as Pinecone, Weaviate, FAISS, or ChromaDB
• Hands-on experience with OpenAI, Anthropic Claude, Gemini, or Open Source LLMs
• Experience integrating AI solutions with APIs, databases, and enterprise systems
• Cloud experience on AWS, Azure, or Google Cloud Platform
• Knowledge of prompt engineering, AI agent design, and scalable backend architectures
• Claude MCP Integration
• Multi-Agent Orchestration
• AI Observability and Evaluation Frameworks
• AI Safety and Guardrails
• Enterprise Copilots and Conversational AI
• Healthcare/Pharma domain experience

Responsibilities

• Build and deploy AI agents with reasoning, planning, memory, and tool usage capabilities
• Develop RAG-based enterprise AI solutions
• Integrate LLM applications with enterprise tools, APIs, and databases
• Design scalable cloud-native AI architectures
• Implement AI safety, monitoring, evaluation, and optimization practices
• Collaborate with stakeholders to deliver production-ready AI solutions