Why This Job is Featured on The SaaS Jobs
Workplace AI is moving from chat interfaces to agent-driven workflows, and this Software Engineer, Agents role sits directly in that shift. The remit spans agent authoring, execution modes, and operational controls, which are increasingly core product surfaces for SaaS companies integrating AI into everyday work. It is also notable for treating reliability, safety, and deployability as first-class product concerns, reflecting where the SaaS ecosystem is heading as agents become embedded in business-critical processes.
For a long-term SaaS engineering career, the role offers exposure to the full loop that modern AI products require: defining user-facing workflows, instrumenting evaluation and feedback, and iterating on quality over time. Experience balancing latency, trust, and cost translates well across SaaS categories, as does the habit of partnering tightly with product, design, research, and go-to-market to turn new capabilities into durable features.
This position is best suited to product-minded engineers who prefer end-to-end ownership and are comfortable moving between frontend, backend, and AI-adjacent systems. It will fit professionals who enjoy making complex behavior observable and controllable for users, and who like working through tradeoffs rather than optimizing for a single metric.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About the Role:
Glean is looking for product engineers to help build the future of AI Agents at work. In this role, you will work across product, AI, and platform to help users build, evaluate, self-improve, deploy, and operate powerful agents inside Glean. This is a highly cross-functional role for engineers who like owning user-facing product experiences end to end while staying close to the underlying systems that make those experiences work. You will help shape how users create agents, how those agents run in auto-mode or independently, how they are evaluated and improved over time, and how we make them reliable, safe, and easy to deploy at scale. The role provides ample opportunities to work on some of the most important challenges in modern AI product development: building intuitive agent-authoring experiences, designing strong eval and feedback loops, enabling self-improvement flows, defining safe and scalable deployment patterns, and making complex agent behavior feel understandable, controllable, and effective for end users. Like the original role, this team values strong technical execution, customer impact, reliability, and thoughtful tradeoffs between speed, quality, and system cost.
You will:
- Build end-to-end product experiences that help users create and configure AI agents for real work.
- Design and ship workflows that help users evaluate agent quality, inspect results, and understand failure modes.
- Build product loops that help agents improve over time through feedback, evals, optimization, and self-improvement primitives.
- Help users deploy and operate both auto-mode agents and more independent agents with the right guardrails, controls, and visibility.
- Work across frontend, backend, prompting, harness behaviour, infrastructure and product systems to turn agent capabilities into polished user experiences.
- Partner closely with design, product, research, and go-to-market teams to identify high-value agent use cases and make them successful in practice.
- Balance product ambition with engineering rigor, making thoughtful tradeoffs across quality, latency, trust, and cost.
About you:
- BA/BS in computer science, or related degree.
- Minimum 6+ years of experience building product software.
- Strong coding skills in languages such as Go, Python, Java or Typescript, with an emphasis on building reliable, well-tested systems.
- Experience building AI, agentic, workflow, automation, or developer-product experiences is a strong plus.
- Strong product sense and comfort working across both user-facing experiences and backend systems.
- Leadership skills and past management experience are a bonus.
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.
