Agentic AI Engineer

Job Title: Agentic AI Engineer Location: India (Remote) Job Summary: BayOne Solutions is seeking an Agentic AI Engineer to design, build, and deploy production-grade AI systems for internal and client engagements. The role involves developing agent-based AI applications, APIs, data pipelines, and cloud-native solutions while ensuring engineering excellence, scalability, and reliability. Key Responsibilities: Build and deploy agentic AI solutions from POC to production. Develop multi-agent systems using LangGraph and Model Context Protocol (MCP). Design and maintain APIs, web applications, and backend services using Python and FastAPI. Work with Azure AI Foundry, vector databases, PostgreSQL, and cloud infrastructure. Implement testing, evaluation frameworks, monitoring, and documentation. Collaborate across distributed teams and contribute to architecture decisions. Required Skills: Strong Python development experience. Hands-on expertise in Agentic AI systems and production deployments. Microsoft Azure and Azure AI Foundry experience (mandatory). Experience with Claude Code, LangGraph, MCP, Pydantic, FastAPI, Docker, SQL, PostgreSQL. Knowledge of vector databases, RAG, modern LLMs (GPT, Claude, Gemini), and CI/CD practices. Familiarity with cloud-native development and infrastructure automation. Preferred Skills: GCP, AKS, Container Apps, Airflow, Kafka, LangChain, CrewAI, LlamaIndex, Redis, Celery, Playwright. Qualification: Bachelor's degree in Engineering or equivalent practical experience.