Agentic AI Engineer – Python & AI

Location: Chandler, AZ (Day 1 Onsite)

Job Type: Contract

Experience: 10+ years

Job Description: We are looking for an experienced Agentic AI Engineer with strong Python development and AI/ML expertise to design, develop, and deploy intelligent AI agents and autonomous AI-driven solutions. The ideal candidate should have hands-on experience building agentic workflows, integrating Large Language Models (LLMs), and developing scalable backend applications using Python.

Key Responsibilities: Design, develop, and implement autonomous AI agents and multi-agent systems. Build agentic AI workflows using frameworks such as LangChain, LangGraph, CrewAI, and AutoGen. Develop scalable backend services and APIs using Python, FastAPI, and Flask. Integrate LLMs such as OpenAI GPT, Anthropic Claude, and AWS Bedrock. Implement Retrieval-Augmented Generation (RAG), vector databases, and semantic search solutions. Develop AI-powered automation, orchestration, and decision-making workflows. Integrate AI agents with enterprise applications, APIs, and databases. Implement prompt engineering, tool calling, memory management, and guardrails. Optimize AI models and applications for performance, scalability, security, and reliability. Collaborate with cross-functional teams to deliver production-ready AI solutions.

Required Skills: Strong hands-on experience in Python programming. Experience developing Agentic AI applications and autonomous AI agents. Hands-on experience with LangChain, LangGraph, CrewAI, or AutoGen. Strong knowledge of LLMs, Generative AI, and Prompt Engineering. Experience with RAG, embeddings, vector databases, and semantic search. Experience with FastAPI, Flask, REST APIs, and microservices. Knowledge of AWS Bedrock, Azure OpenAI, or OpenAI APIs. Experience with SQL/NoSQL databases and cloud platforms. Understanding of Docker, Kubernetes, CI/CD, and production deployment.

Preferred Skills: Experience with multi-agent orchestration and AI workflow automation. Knowledge of MCP (Model Context Protocol) and AI tool integration. Experience with Pinecone, FAISS, ChromaDB, or Weaviate. Familiarity with AWS, Azure, or GCP.Experience deploying and monitoring enterprise-grade AI applications.