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Role: Senior AI Software Engineer (Agentic AI / AI Agents) Location:  Hybrid Duration:  12+ Months Interview:  In-Person Job Summary We are seeking a  hands-on Senior AI Software Engineer  with strong experience in designing, building, and deploying  production-grade Agentic AI systems . The ideal candidate should have expertise in developing AI Agents capable of multi-step reasoning, tool orchestration, Retrieval-Augmented Generation (RAG), and secure enterprise AI solutions. This is  NOT  a traditional Java/.NET Full Stack or chatbot integration role. We are specifically looking for engineers with  real-world production experience building AI Agents using Python and modern Agentic AI frameworks . Required Skills • 5–10+ years of Software Engineering experience. • Strong hands-on experience with  Python  and backend development ( FastAPI preferred ). • Experience building and deploying  production AI Agents / Agentic AI applications . • Strong experience with  LangGraph, LangChain, CrewAI, AutoGen  or similar AI Agent frameworks. • Hands-on experience with: • Retrieval-Augmented Generation (RAG) • AI Agent Architecture • Multi-Agent Systems • Tool Calling / Function Calling • Agent Memory • Prompt Engineering • Embeddings • Experience with Vector Databases such as  Pinecone, FAISS, Weaviate, ChromaDB, or Azure AI Search . • Experience deploying LLM applications using  OpenAI, Azure OpenAI, AWS Bedrock, Anthropic Claude, Google Vertex AI, or Llama models . • Strong experience with  Docker, Kubernetes, CI/CD, LLMOps, Monitoring & Observability . • Experience working on  AWS, Azure, or GCP . • Strong understanding of AI Security, Guardrails, Prompt Injection Protection, PII Handling, RBAC, and Responsible AI. Responsibilities • Design and develop enterprise-scale  Agentic AI  solutions. • Build AI Agents capable of planning, reasoning, tool usage, and multi-step task execution. • Develop reusable AI Agent frameworks, SDKs, and RAG pipelines. • Build secure AI services with proper guardrails, approval workflows, retries, and fault tolerance. • Implement production LLMOps, monitoring, evaluation, observability, and performance optimization. • Collaborate with Product Managers, Data Scientists, and Engineering teams to deliver scalable AI platforms. Preferred Experience • LangGraph • MCP (Model Context Protocol) • AI Agent Evaluation Frameworks • Healthcare, Banking, Insurance, or other regulated industry experience All your information will be kept confidential according to EEO guidelines.