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CitiusTech - Agentic AI Developer - Python Programming

CitiusTechChennai, Hyderabad
Full-timeMid Level
👁️ 0 views📝 0 applicationsPosted 8/11/2026Expires 9/10/2026

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Job Description

Position : Python AI Experience : 8+ Years Location : Chennai & Hyderabad Notice Period : Immediate to 15 / 30 Days Employment Type : Permanent Role The Opportunity : Role 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 : - Bachelors or masters 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 Big Query (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 Lang Chain, Llama Index, Auto Gen, or Crew AI. - Background in implementing ML Ops 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.

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