About Us

We’re building the next generation of AI-powered business software, and we’re looking for people who want to shape that future with us. With Lumen, we’re reimagining how users interact with CRM — moving beyond screens, menus and dashboards to an intelligent interface where users can simply ask AI to take actions, retrieve knowledge, generate insights and get work done.

With Agent

Studio, we’re enabling businesses to build, test and deploy their own AI agents for real-world workflows. And with Invorto, we’re bringing AI to voice, allowing businesses to create intelligent voice agents tailored to their customer and operational use cases.

What makes this especially exciting is the stage and scale of the opportunity. You’ll get to work on genuinely hard problems across LLMs, agents, reasoning, orchestration, voice AI, evaluation, reliability and enterprise security — not as isolated experiments, but as products used in real business workflows. You’ll have the opportunity to build zero-to-one, own meaningful parts of the product end-to-end, work closely with customers, experiment rapidly, and see your work reach production at scale.

Why join now? Because the playbook for enterprise AI is still being written. You won’t just be implementing someone else’s roadmap — you’ll help define the product, architecture and experiences that become that playbook. Expect high ownership, fast iteration, hard technical and product problems, direct customer impact, and the chance to build AI systems that have to work reliably in the real world — not just in a demo.

About the Role

We are looking for a QA Engineer who specializes in testing agentic AI platforms. You will design and automate quality processes for systems that involve LLMs, autonomous agents, tool use and orchestration across Lumen and Agent Studio — ensuring that AI-driven workflows behave reliably, safely and predictably in production, not just in a demo.

What You’ll Do





- Design and build automated test suites and evaluation frameworks for agentic AI workflows, including multi-step and tool-calling behaviors.
- Use AI/LLM-based QA tools and evaluation frameworks to test model outputs, agent decisions and end-to-end task completion at scale.
- Define quality metrics and benchmarks for agent reliability, correctness, latency and safety, and track them over releases.
- Identify edge cases, failure modes and regressions specific to non-deterministic AI systems, and build automated checks to catch them early.
- Integrate automated agent/LLM testing into CI/CD pipelines to support fast, reliable iteration.
- Partner closely with AI/ML and backend engineers to reproduce issues, root-cause failures and validate fixes.
- Work with customers and customer-facing teams to understand real-world usage patterns and translate them into test scenarios.

What We’re Looking For

- 2–4 years of QA/test automation experience, including hands-on work testing agentic AI or LLM-based platforms.
- Practical experience using AI-focused QA/evaluation tools to test agent behavior, prompts and model outputs.
- Hands-on experience with Langsmith, Langfure, DeepEval
- Strong scripting/automation skills (Python preferred) to build and maintain test frameworks.
- Understanding of how LLM-based agents work — tool calling, orchestration, memory, reasoning chains — well enough to design meaningful test cases.
- Comfort working with non-deterministic systems and designing evaluation approaches beyond traditional pass/fail testing.
- Robust communication skills — this is a customer-facing role, and you will be expected to clearly articulate technical concepts, decisions and trade-offs to both technical and non-technical stakeholders, including customers.

Good to Have

- Experience testing voice AI or real-time conversational systems.
- Familiarity with CRM or enterprise SaaS platforms.
- Exposure to enterprise security or compliance testing for AI systems.

📌 QA Engineer (Bengaluru)
🏢 LeadSquared
📍 Bengaluru