Software Engineer, Evals

About this role

Not quite right? These jobs in Bengaluru match the same skills — apply to a few to improve your chances.

Senior Software Engineer – C/C++ & Network Systems

Cisco

In OfficeBengaluru

Apply

Senior Analyst

NAB

In OfficeBengaluru

Apply

Software Engineer-Java+ Angular

Netsmart Healthcare Solutions India

In OfficeBengaluru

Apply

Senior/Lead DevOps Engineer

Ericsson

In OfficeBengaluru

Apply

Skills you'll use

What you'll do

• 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.
• 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.

Who can apply

• You have 6+ 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.

Perks & benefits

About Glean

Searching for “Glean jobs” or “jobs at Glean”? You’re in the right place.