Agentic Analytics Products Developer

The Networker; Bengaluru; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

The Networker in Bengaluru, India seeks an AI Analytics Product Manager to drive the transformation of analytics into AI-native tools. You will lead the creation of AI-powered BI experiences, focusing on agent-driven analytics, prompt orchestration, and robust data retrieval.

You will partner with cross-functional teams to ship compliant, scalable AI capabilities while balancing performance, safety, and cost.

Qualifications

• Proven experience building production AI systems or chatbot platforms.
• Experience with prompt design including user/system/tool prompts and iteration workflows.
• Hands-on experience with RAG, embeddings, vector stores, and hybrid retrieval.
• Experience with building prompt evals and automated test harnesses.

Responsibilities

• Build the platform and infrastructure powering AI agents for analytics products at scale.
• Own data retrieval, prompt orchestration, and grounded answer generation systems.
• Collaborate with middleware, platform, and product teams for reliable integration and observability.
• Partner with Legal, Privacy, Security, and Responsible AI to ship compliant AI capabilities.
• Develop chatbot capabilities and agent workflows for analytics use cases.
• Build RAG pipelines across structured and unstructured sources including SQL and documents.
• Improve retrieval quality via chunking, deduplication, and hybrid search.
• Design evaluation frameworks for groundedness, accuracy, and latency.

Skills

AI systems

Prompt design

RAG / embeddings

LangChain/LangGraph

Docker & Kubernetes

FastAPI APIs

Tools

Docker

Kubernetes

FastAPI

LangChain

LangGraph

Job description

Job Summary

Analytics is undergoing a fundamental shift, from traditional data science toward AI-driven analytics product development. As business intelligence evolves into intelligent, AI-powered tooling, we are looking for someone eager to help lead this transformation.

This role sits at the intersection of analytics, product, and AI. You will play a key part in reimagining our Business Intelligence ecosystem as a suite of AI-native applications, stepping into the role of an AI Analytics Product Manager.

We are building toward a future where business and product teams can diagnose performance, uncover insights, and take action through AI-enabled experiences. If you're motivated to move beyond analysis into productizing intelligence and want to shape how eBay interacts with data in the AI era, this is an opportunity to be at the forefront of that journey.

Responsibilities

• Build the platform and infrastructure that powers AI agents for analytics products at scale.
• Own the core systems behind data retrieval, prompt orchestration, chatbot experiences, and grounded answer generation.
• Work closely with middleware, platform, and product engineering teams to ensure reliable integration, observability, safety, and performance across the stack.
• Partner with Legal, Privacy, Security, and Responsible AI to ship compliant, trustworthy AI capabilities without slowing execution.
• Build and scale AI platform infrastructure for agentic analytics and chatbot products.
• Design and maintain AI user prompts, system prompts, tool prompts, and orchestration flows for reliable task execution.
• Develop chatbot capabilities and agent workflows for analytics use cases.
• Build RAG pipelines across structured and unstructured sources, including SQL and documents.
• Improve retrieval quality through chunking, deduplication, hybrid search and embeddings.
• Build prompt and model evaluation frameworks for groundedness, accuracy, robustness, latency, and cost.
• Implement function calling, structured outputs, retries, fallbacks, and guardrails for production-grade agents.
• Work closely with middleware teams to ensure clean integration patterns, service contracts, streaming support, and operational reliability.
• Deploy and operate services in containerized environments with strong attention to scalability and reliability.
• Analyze production failures and optimize for quality, latency, reliability, and predictable cost.

Key skills

• Strong experience building production AI systems, LLM applications, or chatbot platforms.
• Deep understanding of prompt design, including user prompts, system prompts, tool prompts, and prompt iteration workflows.
• Hands-on experience with RAG systems, embeddings, vector stores, hybrid retrieval, and re-ranking.
• Experience building prompt evals, golden datasets, automated test harnesses, and regression checks.
• Strong Python engineering skills with experience building production APIs using FastAPI.
• Experience with LangChain and LangGraph for orchestration, tool use, and agent workflows.
• Experience deploying services with Docker and Kubernetes in production environments.
• Strong understanding of platform and infrastructure concerns such as scale, reliability, observability, and service integration.
• Ability to partner effectively with middleware and cross-functional engineering teams.

Nice to have

• Experience with model routing, multi-step orchestration, and structured output systems.
• Background in AI safety, red-teaming, or jailbreak defense.
• Familiarity with analytics systems, query engines, or data platforms.
• Experience partnering with Legal, Privacy, Security, or Responsible AI teams.

What success looks like

• AI agents and chatbots deliver grounded, reliable, and scalable analytical experiences.
• Prompting, retrieval, and evaluation systems are robust, measurable, and production-ready.
• Middleware integrations are clean and dependable across services and user-facing products.
• The platform supports fast iteration while maintaining safety, compliance, and cost efficiency.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.