Databricks

Databricks

Posted via Greenhouse

Senior Staff Software Engineer- Search Quality

Posted Aug 5, 2026

Role at a glance

Salary
Not Disclosed
Location
Bengaluru, India
Work arrangement
Hybrid
Employment
Full-time

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Role Summary

AI-generated

The Search Quality Engineer will own search-result quality for both AI-agent retrieval and human search experiences at Databricks. The role focuses on building a contextual retrieval layer that supports accurate business actions and intuitive discovery across structured and unstructured data.

What You'll Do

  • Optimize the retrieval layer that allows LLMs to reason over organizational data.
  • Improve the traditional search experience for finding assets and answers.
  • Balance keyword-based search with semantic vector search through hybrid retrieval.
  • Fine-tune ranking models for human readability and LLM-ready context.
  • Build guardrails and relevance scoring to keep AI grounded in reality.
  • Build human-in-the-loop and LLM-based evaluation frameworks to measure relevance.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Experience with Lucene/Elasticsearch, embeddings, ranking algorithms, evaluation frameworks, Information Retrieval, Retrieval-Augmented Generation, and relevance metrics including nDCG, MRR, and Precision@K.

Required

  • Lucene/Elasticsearch
  • Embeddings
  • Ranking algorithms
  • Evaluation frameworks
  • Information Retrieval (IR)
  • Retrieval-Augmented Generation (RAG)
  • nDCG
  • MRR

Original job description

Content provided by the employer

P-1408

The Mission

We are democratizing Data and AI for every enterprise user. Our vision is a world where anyone can master their organization’s data through Apps and AI Agents. We are building the retrieval backbone for two worlds: the high-precision context layer for AI agents and the intuitive search experience for people goal is the same: instant, accurate, and actionable insight.

 

The Role

  • As a Search Quality Engineer, you sit at the heart of this transformation. You aren't just building a search engine; you are building the contextual backbone of the entire company.
  • You will own the quality of results for two distinct but deeply connected "users":
  • The AI Agent: Optimizing the retrieval layer that allows LLMs to reason over data they weren’t trained on, ensuring they have the "ground truth" needed  to synthesize accurate, high-stakes business actions.
  • The Human User: Improving the traditional search experience so employees can find assets and answers through intuitive, high-recall interfaces.

The Technical Challenge

This isn't a solved problem. You will be tackling "Search" in its most evolved form:

  • Hybrid Retrieval: Balancing traditional keyword-based search (for exactness) with semantic vector search (for intent).
  • Dual-Optimization: Fine-tuning ranking models that satisfy both human readability and LLM-ready context.
  • High-Stakes Accuracy: In a world of Agents, poor search quality leads to hallucinations. You will build the guardrails and relevance scoring that ensure our AI stays grounded in reality.
  • Data Heterogeneity: Connecting the dots across structured SQL tables, unstructured docs, and real-time business metrics.

Why This is the Place to Be

  • You will have a front-row seat to the Agentic revolution. If you want to solve the hardest problems in data discovery and see your work power the decision-making of thousands of people, let’s talk.

 

What We’re Looking For

  • The IR Specialist: You know your way around Lucene/Elasticsearch, embeddings, and ranking algorithms.
  • The Quality and Metrics Obsessive: You understand that "relevance" is subjective and love building evaluation frameworks (human-in-the-loop and LLM-based) to measure it. You are obsessed with relevance metrics (nDCG, MRR, Precision@K).
  • The Bridge Builder: You’re excited to apply traditional Information Retrieval (IR) wisdom to the cutting-edge world of Retrieval-Augmented Generation (RAG).

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Databricks

About the company

Databricks

Large Enterprise

Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.