RAAPID INC - AI Product Manager - Agentic AI in Ahmedabad, भारत

About the Role :We are establishing an Agentic AI Center of Excellence (CoE) to design, build, and deploy the next generation of autonomous digital workers across RAAPID. We are seeking a hands-on, product-minded Manager, Agentic AI Products to design, build, and ship intelligent AI agent systems that solve real problems across verticals like Sales, Marketing, Product, Operations, HR, Legal, and https://jobeax.com/link/cc6i3IaKPpM3s6D1 Responsibilities :Agentic AI Architecture & Development :- Design, build, and deploy production-grade agentic AI systems using frameworks such as LangGraph, LangChain, CrewAI, or custom orchestration layers, with well-defined tool-use patterns, planning mechanisms, state management, and error recovery.- Build and maintain RAG pipelines integrated with agentic systems - including chunking strategies, embedding model selection, vector store management, and retrieval optimization.- Implement guardrails, observability, and evaluation frameworks to ensure agent reliability, safety, and performance in https://jobeax.com/link/2FAYgGfxGJayKlNJ Management & Strategy:- Own the product roadmap for RAAPID's agentic AI capabilities - from discovery through launch, iteration, and scale.- Identify and scope high-impact agentic product opportunities across business functions - decomposing complex cross-functional workflows into well-defined agent tasks, tool integrations, and automation candidates.- Conduct user research, analyze product usage data, and run experiments to continuously improve agent performance and user outcomes.- Own the product spec for every agent we ship - define what it does, how we measure it, and work with stakeholders to prioritize the build order.- Deliver executive-level reporting on product impact - connecting agent performance to pipeline, revenue, and customer ROI.- Build and maintain a competitive intelligence framework - track how competitors are adopting agentic and GenAI capabilities, and use those insights to inform product positioning and feature prioritization.- Partner with customer success and sales teams to establish closed-loop feedback cycles - capture deployment learnings, user friction points, and feature requests from live customer environments to continuously shape the product backlog.Cross-Functional Leadership & Innovation:- Lead and mentor a team of AI engineers and product contributors building agentic products.- Collaborate closely with engineering, sales, customer success, and leadership to ensure agentic products align with GTM strategy and customer needs.- Serve as the company's internal expert on agentic AI - advising on architecture decisions, emerging patterns, and competitive landscape.- Stay at the forefront of agentic AI advancements and translate them into product opportunities.- Structure team workflows to balance experimentation with delivery commitments using Agile/Scrum https://jobeax.com/link/psV7ngx1AOEV1gwL Qualifications:- 3+ years of hands-on experience designing and building agentic AI systems.- MBA from a Tier 1 business school or premier institution is preferred.- Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or a related field.- Strong product management skills - proven ability to own a product roadmap, write PRDs, define metrics, and ship products.- Deep technical fluency with LLMs, RAG architectures, prompt engineering, and at least one agent framework (LangGraph, LangChain, CrewAI, AutoGen, or equivalent).- Experience deploying AI systems to production with attention to latency, cost, reliability, and observability.- Strong analytical skills with the ability to turn data into product decisions.- Experience in the healthcare technology, SaaS, or enterprise AI https://jobeax.com/link/dFJzw1r2Mmhcf3kk Skills :Agent Frameworks & AI :- LangGraph, LangChain, CrewAI, AutoGen, or custom orchestration- LLMs (Gemini, Claude, open-source models), RAG pipelines, prompt engineering, fine-tuning- Tool-use patterns, function calling, MCP (Model Context Protocol)Engineering & Infrastructure :- Python, with working knowledge of APIs, async patterns, and data pipelines- Vector databases (Pinecone, Weaviate, ChromaDB, pgvector)- Cloud platforms: AWS, Azure, or GCP- Observability & evaluation: LangSmith, Weights & Biases, custom tracingProduct & Data :- Product management tools: Clickup, Visio, Linear, Figma- Data analysis: SQL, Pandas, basic BI tools (Tableau, PowerBI)- Experimentation frameworks and A/B testing for AI systemsCore Competencies :- Innovation & Curiosity: Stays ahead of the rapidly evolving agentic AI landscape- AI Product Sense: Ability to identify where agentic AI creates real value vs. where simpler solutions suffice- Technical Architecture Thinking: Can whiteboard an agent system and also write the code- Strategic Thinking: Connects technical capabilities to business outcomes and customer needs- Builder Mentality: Bias toward shipping and iterating over theorizing- Cross-Functional Collaboration: Works effectively across engineering, sales, and leadership- Data-Driven Decision Making: Uses metrics and evidence to prioritize and evaluate (ref:hirist.tech)