Software Engineer, Evals

Glean; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Glean is seeking backend and infrastructure engineers in Bangalore to design and operate large-scale evaluation systems that measure AI quality at scale. You will own core services for running evaluations, processing traces, powering observability workflows, and delivering signals about assistant behavior while ensuring security, reliability, and cost efficiency.

This role focuses on building reliable distributed systems, shaping how AI products are shipped, and collaborating with product, ML,

Qualifications

• 4+ years of software engineering experience building backend systems, infrastructure, distributed systems, or data platforms.
• Strong coding skills in Go, Python, Java, C++, or similar languages with emphasis on reliability and scalability.
• Comfortable working with distributed data pipelines, production services, observability systems, or cloud-native infrastructure.
• Analytically rigorous and cares about metrics reflecting real user experience beyond dashboards.
• Experience with LLM applications, evals, tracing, data warehouses, workflow orchestration, or ML infrastructure is a strong plus.

Responsibilities

• Design and build large-scale evaluation pipelines that measure assistant and agent quality across real user and synthetic workflows.
• Evaluate frontier model releases and OSS model drops, building infrastructure and signals to understand regressions and launch readiness.
• Build agent observability infrastructure, including trace enrichment, telemetry pipelines, dashboards, and debugging workflows.
• Own backend systems from architecture and design through production rollout, reliability, monitoring, and iteration.

Skills

Backend design

Go/Python/Java

Distributed systems

Observability

Cloud infrastructure

Job description

About Glean

Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s 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.

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 Glean’s 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 Glean’s 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. We’re 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 we’re committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you’ll 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 isn’t required.

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