Python Developer - Agentic AI

Position : Python Developer With Agentic AILocation : Chennai/HyderabadMode : Full-TimeWork Model : Hybrid (3 days WFO)Work Time : 3 PM - 12 AMRole Summary :This role demands an experienced Agentic AI Developer to design, build, and deploy autonomous AI agents capable of reasoning, planning, and executing complex, multi-step workflows within a fast-paced, agile environment.Responsibilities :- Design, develop, and test autonomous AI agents and multi-agent systems to solve complex business problems.- Write clean, scalable, and maintainable production-grade code using Python.- Deploy, manage, and scale AI architectures and agentic workflows securely on Google Cloud Platform (GCP).- Integrate Large Language Models (LLMs) with external APIs, internal databases, and enterprise software toolchains.- Build and optimize advanced Retrieval-Augmented Generation (RAG) pipelines and manage vector databases.- Implement robust evaluation frameworks, strict grounding techniques, and anti-hallucination guardrails to ensure enterprise-grade reliability.- Monitor agent performance, debug complex AI reasoning loops, and optimize systems for latency and cost.- Collaborate closely with product managers, data engineers, and stakeholders to translate business requirements into technical AI solutions.Required Skills :- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical field.- Proven hands-on experience building and deploying generative AI applications in a production environment (6 to 12 months).- Advanced proficiency in Python programming with 7 - 9 years of experience, including asynchronous programming and API development.- Experience with GCP services, specifically Vertex AI, Cloud Run, Cloud Functions, and BigQuery (or) similar cloud experience in AWS or Azure.- Deep understanding of LLM capabilities, advanced prompt engineering, and context window management.- Strong foundational knowledge of vector search technologies, embeddings, and semantic search methodologies.Good to have Skills :- Experience designing complex multi-agent architectures where AI models collaborate to solve tasks.- Practical experience with Gen AI orchestration and agentic frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI.- Background in implementing MLOps pipelines, CI/CD for machine learning, and automated model evaluation.- Solid understanding of data security, privacy compliance, and AI governance best practices.- Experience with containerization technologies like Docker and Kubernetes. (ref:hirist.tech)