Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industrys most advanced enterprise search has evolved into a full-scale Work AI ecosystem powering intelligent Search an AI Assistant and scalable AI agents on one secure open platform. With over 100 enterprise SaaS connectors flexible LLM choice and robust APIs Glean gives organizations the infrastructure to govern scale and customize AI across their entire business - without vendor lock-in or costly implementation cycles.
At its core Glean is redefining how enterprises find use and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people content and activity delivering deeply personalized context-aware responses for every employee. This foundation powers Gleans agentic capabilities - AI agents that automate real work across teams by accessing the industrys broadest range of data: enterprise and world structured and unstructured historical and real-time. The result: measurable business impact through faster onboarding hours of productivity gained each week and smarter safer decisions at every level.
Recognized by Fast Company as one of the Worlds Most Innovative Companies (Top 10 2025) by CNBCs Disruptor 50 Bloombergs AI Startups to Watch (2026) Forbes AI 50 and Gartners Tech Innovators in Agentic AI Glean continues to accelerate its global impact. With customers across 50 industries and 1000 employees in more than 25 countries were helping the worlds largest organizations make every employee AI-fluent and turning the superintelligent enterprise from concept into reality.
If youre excited to shape how the world works youll help build systems used daily across Microsoft Teams Zoom ServiceNow Zendesk GitHub and many more - deeply embedded where people get things done. Youll ship agentic capabilities on an open extensible stack with the craft and care required for enterprise trust as we bring Work AI to every employee in every company.
About the Team
Building a great AI assistant is only half the battle; knowing whether it is actually great is the other half. The Evals & Observability team owns the measurement and quality layer that makes Gleans Assistant and Agents reliably better over time: evaluation pipelines quality evalsets LLM-powered judges agent observability and the tooling engineers use to understand what changed and why.
This is a rare opportunity to work at the intersection of distributed systems data infrastructure applied AI and product quality. You will help build the systems that decide whether new models prompts retrieval strategies and agent workflows are ready to ship to enterprise customers.
About the Role
We are looking for backend and infrastructure engineers in Bangalore to build the platforms that measure explain and improve AI quality at scale. You will own core systems for running large-scale evaluations processing traces powering observability workflows and giving engineers clear signals about assistant and agent behavior including how Glean evaluates frontier model releases and the latest open-source model drops before they shape customer-facing AI experiences.
This role is ideal for someone who loves building reliable distributed systems cares deeply about product quality and wants their infrastructure work to directly shape how AI products are shipped. You will work on systems that need to be scalable secure permissions-aware fast and cost-efficient.
You will
Design and build large-scale evaluation pipelines that measure assistant and agent quality across thousands of real user and synthetic workflows.
Evaluate frontier model releases and the latest OSS model drops building the infrastructure and quality signals that help Glean understand regressions tradeoffs and launch readiness.
Build agent observability infrastructure including trace enrichment durable telemetry pipelines dashboards and debugging workflows that make AI behavior inspectable.
Own backend systems from architecture and design docs through production rollout reliability monitoring and iteration.
Partner with product ML and infrastructure engineers to make evals a first-class part of how Glean ships AI features.
Improve the quality loop by connecting eval results customer feedback regression analysis and engineering workflows into concrete product improvements.
Build systems that balance speed reliability enterprise security and cost across modern cloud-native environments.
Mentor other engineers raise the bar for technical design and help shape the engineering culture of Gleans Bangalore AI quality team.
About you
You have 4 years of software engineering experience building backend systems infrastructure distributed systems or data platforms.
You have strong coding skills in Go Python Java C or similar languages with an emphasis on reliability scale and well-tested components.
You are comfortable working with distributed data pipelines production services observability systems or cloud-native infrastructure.
You are analytically rigorous and care about whether metrics reflect real user experience not just whether dashboards look good.
You enjoy customer-focused cross-functional environments and are willing to take on whatever is most impactful for the company.
You care deeply about quality both in the systems you build and in the AI product you help measure and improve.
Experience with LLM applications evals tracing data warehouses workflow orchestration or ML infrastructure is a strong plus.
Location:
This role is in person in Bangalore India
Compensation & Benefits:
Compensation offered will be determined by factors such as location level job-related knowledge skills and experience. Certain roles may be eligible for variable compensation equity and benefits.
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. Were committed to an inclusive and diverse company. We do not discriminate based on gender ethnicity sexual orientation religion civil or family status age disability or race.
AI-First Mindset at Glean:
At Glean AI fluency is core to how we work and were committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process youll complete a brief AI-focused exercise or discussion so we can understand how you think about design and use AI to drive impact in your role. Feel free to reference any tools platforms or workflows you use today prior Glean experience isnt required.
Global Data Privacy Notice for Job Candidates and Applicants:
Depending on your location the General Data Protection Regulation (GDPR) California Consumer Privacy Act (CCPA) or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our . By submitting your application you are agreeing to our use and processing of your data as applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement.
About Glean:Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industrys most advanced enterprise search has evolved into a full-scale Work AI ecosystem powering intelligent Search an AI Assistant and scalable AI agents on one secure open platform. With over 10...
About Glean:
Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industrys most advanced enterprise search has evolved into a full-scale Work AI ecosystem powering intelligent Search an AI Assistant and scalable AI agents on one secure open platform. With over 100 enterprise SaaS connectors flexible LLM choice and robust APIs Glean gives organizations the infrastructure to govern scale and customize AI across their entire business - without vendor lock-in or costly implementation cycles.
At its core Glean is redefining how enterprises find use and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people content and activity delivering deeply personalized context-aware responses for every employee. This foundation powers Gleans agentic capabilities - AI agents that automate real work across teams by accessing the industrys broadest range of data: enterprise and world structured and unstructured historical and real-time. The result: measurable business impact through faster onboarding hours of productivity gained each week and smarter safer decisions at every level.
Recognized by Fast Company as one of the Worlds Most Innovative Companies (Top 10 2025) by CNBCs Disruptor 50 Bloombergs AI Startups to Watch (2026) Forbes AI 50 and Gartners Tech Innovators in Agentic AI Glean continues to accelerate its global impact. With customers across 50 industries and 1000 employees in more than 25 countries were helping the worlds largest organizations make every employee AI-fluent and turning the superintelligent enterprise from concept into reality.
If youre excited to shape how the world works youll help build systems used daily across Microsoft Teams Zoom ServiceNow Zendesk GitHub and many more - deeply embedded where people get things done. Youll ship agentic capabilities on an open extensible stack with the craft and care required for enterprise trust as we bring Work AI to every employee in every company.
About the Team
Building a great AI assistant is only half the battle; knowing whether it is actually great is the other half. The Evals & Observability team owns the measurement and quality layer that makes Gleans Assistant and Agents reliably better over time: evaluation pipelines quality evalsets LLM-powered judges agent observability and the tooling engineers use to understand what changed and why.
This is a rare opportunity to work at the intersection of distributed systems data infrastructure applied AI and product quality. You will help build the systems that decide whether new models prompts retrieval strategies and agent workflows are ready to ship to enterprise customers.
About the Role
We are looking for backend and infrastructure engineers in Bangalore to build the platforms that measure explain and improve AI quality at scale. You will own core systems for running large-scale evaluations processing traces powering observability workflows and giving engineers clear signals about assistant and agent behavior including how Glean evaluates frontier model releases and the latest open-source model drops before they shape customer-facing AI experiences.
This role is ideal for someone who loves building reliable distributed systems cares deeply about product quality and wants their infrastructure work to directly shape how AI products are shipped. You will work on systems that need to be scalable secure permissions-aware fast and cost-efficient.
You will
Design and build large-scale evaluation pipelines that measure assistant and agent quality across thousands of real user and synthetic workflows.
Evaluate frontier model releases and the latest OSS model drops building the infrastructure and quality signals that help Glean understand regressions tradeoffs and launch readiness.
Build agent observability infrastructure including trace enrichment durable telemetry pipelines dashboards and debugging workflows that make AI behavior inspectable.
Own backend systems from architecture and design docs through production rollout reliability monitoring and iteration.
Partner with product ML and infrastructure engineers to make evals a first-class part of how Glean ships AI features.
Improve the quality loop by connecting eval results customer feedback regression analysis and engineering workflows into concrete product improvements.
Build systems that balance speed reliability enterprise security and cost across modern cloud-native environments.
Mentor other engineers raise the bar for technical design and help shape the engineering culture of Gleans Bangalore AI quality team.
About you
You have 4 years of software engineering experience building backend systems infrastructure distributed systems or data platforms.
You have strong coding skills in Go Python Java C or similar languages with an emphasis on reliability scale and well-tested components.
You are comfortable working with distributed data pipelines production services observability systems or cloud-native infrastructure.
You are analytically rigorous and care about whether metrics reflect real user experience not just whether dashboards look good.
You enjoy customer-focused cross-functional environments and are willing to take on whatever is most impactful for the company.
You care deeply about quality both in the systems you build and in the AI product you help measure and improve.
Experience with LLM applications evals tracing data warehouses workflow orchestration or ML infrastructure is a strong plus.
Location:
This role is in person in Bangalore India
Compensation & Benefits:
Compensation offered will be determined by factors such as location level job-related knowledge skills and experience. Certain roles may be eligible for variable compensation equity and benefits.
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. Were committed to an inclusive and diverse company. We do not discriminate based on gender ethnicity sexual orientation religion civil or family status age disability or race.
AI-First Mindset at Glean:
At Glean AI fluency is core to how we work and were committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process youll complete a brief AI-focused exercise or discussion so we can understand how you think about design and use AI to drive impact in your role. Feel free to reference any tools platforms or workflows you use today prior Glean experience isnt required.
Global Data Privacy Notice for Job Candidates and Applicants:
Depending on your location the General Data Protection Regulation (GDPR) California Consumer Privacy Act (CCPA) or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our . By submitting your application you are agreeing to our use and processing of your data as applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement.
Glean was created to deliver healthy and fresh foods - made directly from fruits and vegetables - into your hands! Sweet Potato Flour & Pumpkin Flour now available.
Our team is made up of a handful of passionate people who have worked in food and agriculture most of their careers -
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