Assistant Manager RNA

Agentic AI IntegrationPrimary focus will be to build deploy and optimize AI agents using frameworks such as LangChain LangGraph CrewAI AgentFlow and AutoGen. Implement orchestration strategies multi-agent collaboration tool integration and memory/state management. Drive experimentation to create autonomous or semi-autonomous agents that solve real-world business workflows and support decision-making & Performance OptimizationEstablish MLOps pipelines covering the complete model lifecycle including training CI/CD monitoring deployment and retraining. Utilize tools such as Git Docker Kubernetes and vector databases to ensure efficient and reliable deployments. Optimize resource utilization and infrastructure -Functional CollaborationPartner with engineering data science and product teams to align technical solutions with business objectives. Effectively communicate complex concepts to both technical and non-technical stakeholders. Stay current with industry advancements and drive innovation in GenAI and Agentic AI & QualificationsRequiredStrong proficiency in Python SQL and GenAI frameworks such as LangChain. Hands-on experience building and deploying AI agents with orchestration tool integration and state management -depth knowledge of LLM architectures RAG embeddings prompt engineering vector databases and Agentic AI patterns including ReAct tool-calling agents multi-step reasoning and guardrails. Experience with cloud platforms such as AWS Azure and GCP as well as containerization technologies. Strong analytical problem-solving and communication skills. Experience with data integration using REST APIs Google APIs and SQL databases with the ability to move data seamlessly across systems. Experience in web development using FastAPI TypeScript asynchronous programming patterns React component-based architecture hooks state management and streaming APIs (SSE/WebSocket).Preferred4 years of hands-on experience working with LLMs and GenAI solutions in production environments. Exposure to Agentic AI frameworks and multi-agent workflows such as CrewAI LangGraph and AutoGen. Familiarity with MLOps practices and AI deployment best practices. Experience working on client-facing engagements or cross-functional AI initiatives. Publications open-source contributions or demonstrable projects showcasing expertise in AI agent development.

Qualifications :

Graduate or above

Remote Work :

No

Employment Type :

Full-time