Software Engineer, Evals
Glean
Bangalore, IndiaPosted 1 month ago
Skill Required
EngineeringSoftware EngineerSoftware DeveloperSystem DesignObservabilityServiceNowdebuggingsecuritybuildingEmbedded CPythondesignGitC++CloudJavaAPIsGenerative AIGoAIMachine Learning
Key highlights
- 6+ years of software engineering experience required
- In-person role in Bangalore, India
- Eligible for variable compensation, equity, and benefits
- Focus on AI quality, evals, and observability
Role overview
Glean is the Work AI platform that helps enterprises work smarter with AI, offering advanced enterprise search, an AI Assistant, and scalable AI agents on a secure, open platform. The Evals & Observability team at Glean owns the measurement and quality layer that ensures the Assistant and Agents improve reliably over time, including evaluation pipelines, quality datasets, LLM-powered judges, and agent observability. This role involves building backend and infrastructure systems in Bangalore to measure, explain, and improve AI quality at scale, working on scalable, secure, and cost-efficient systems that directly impact AI product shipping.
Responsibilities
- 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.
Requirements
- 6+ 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 an emphasis on reliability, scale, and well-tested components.
- Comfortable working with distributed data pipelines, production services, observability systems, or cloud-native infrastructure.
- Analytically rigorous and care about whether metrics reflect real user experience, not just whether dashboards look good.
- Enjoy customer-focused, cross-functional environments and are willing to take on whatever is most impactful for the company.
- Care deeply about quality, both in the systems you build and in the AI product you help measure and improve.
Nice to have
- Experience with LLM applications, evals, tracing, data warehouses, workflow orchestration, or ML infrastructure.
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.
Additional details
- This role is in person in Bangalore, India.
- 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.
- 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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