# Principal Member of Technical Staff - Java + Node.Js (GenAI search) at Salesforce

Salesforce is hiring a Principal Member of Technical Staff - Java + Node.Js (GenAI search) in Bengaluru, India. Level rates it Builds AI ●●●●; you can [apply on Level](https://jobsbylevel.com/go/5ba67a22-15dc-47dc-84d4-ffe0f6ea789d?utm_medium=ai-agent).

AI Level 4, AI centrality 85 out of 100. India - Bangalore.

## Details

- Company: [Salesforce](https://jobsbylevel.com/companies/salesforce)
- AI level: AI Level 4 (score 85 out of 100)
- Location: India - Bangalore
- Posted: October 16, 2026
- Apply: https://jobsbylevel.com/go/5ba67a22-15dc-47dc-84d4-ffe0f6ea789d?utm_medium=ai-agent

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/principal-member-of-technical-staff-java-node-js-genai-search-at-salesforce-a4b517

## Description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. About the Role We are looking for an exceptional PMTS / LMTS to lead the engineering vision for AgentExchange’s Search and Personalization services — the AI-powered discovery layer that sits at the heart of how customers find and engage with solutions across the Salesforce ecosystem. As a Principal Engineer or Lead on the Search & Personalization team, you will be the technical authority for the systems that determine what customers see, find, and click on across AgentExchange. You’ll design and deliver the next generation of agentic search — multi-turn, context-aware, and enriched with AI overviews, next-best query suggestions, and personalized recommendations — alongside the indexing infrastructure and contextual discovery services that power embedded surfaces across Agentforce, Slack, Setup, and beyond. AgentExchange is building the next generation of our ecosystem marketplace, extending the base and boundaries of our platform while infusing intelligence through every step of our partners’ and customers’ journey. The new ecosystem enables packaging, publishing, and listing solutions across multiple technologies — Agentforce, MuleSoft, Tableau, and Slack — while delivering full transactability (Discover → Purchase → Provision). The One AppExchange Framework is our dynamic, extensible data and services platform that expands the tenancy capabilities of the AgentExchange site. This is not a search-maintenance role. You will own the technical vision for discovery at scale, drive AI-native engineering across the search stack, and set the bar for relevance, latency, personalization, and observability across one of the most strategically important surfaces in the AgentExchange. What You’ll Do Architectural Leadership: Lead architectural design and delivery of major Search & Personalization capabilities, including: GenAI Search: AI overview results, next-best query suggestions, and natural language query understanding. Multi-Turn Agentic Search: Conversational discovery with recommendations, comparisons, and contextual follow-up. Personalization Service: Behavioral and preference-based ranking and recommendations. Contextual Discovery Service: Powering embedded AgentExchange discovery surfaces within Agentforce, Slack, Setup, and other core product surfaces. Search Indexer: Scalable, low-latency indexing pipelines for new asset types including standards-based agents, MCP tools/resources, skills, subagents, and A2A listings. AI-Native Engineering: Champion AI-native engineering — actively use and promote AI tools across the development lifecycle, from code completion to production monitoring. Model AI fluency and help build an AI-native team culture. Domain Strategy & Vision: Define the Northstar architecture for the Search & Personalization domain — leading discovery, design, and execution tracks that align with the broader AgentExchange one-marketplace strategy. Platform Modernization: Drive platform modernization — contribute to the migration off Heroku and onto Falcon, including the enabling roadmap for search services infrastructure migration. Engineering Excellence: Own engineering excellence across the search stack:

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Source: https://jobsbylevel.com/jobs/principal-member-of-technical-staff-java-node-js-genai-search-at-salesforce-a4b517

## Cite this page

Level. https://jobsbylevel.com/jobs/principal-member-of-technical-staff-java-node-js-genai-search-at-salesforce-a4b517.

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