QA / Test Engineer (Automation & Conversation Quality)
Location: Bangalore
Experience: 2–3 years
Type: Full-time | On-site
Open Roles: 1
Start: Immediate
Why this role exists
Most teams treat QA as the last step.
That’s why bugs reach production.
We are building AI agents where failures are:
- Visible to customers
- Hard to debug
- Expensive to fix
This role exists to ensure:
- Bugs are caught before production
- Releases are safe and predictable
- Teams can ship fast without fear
What you’ll do
You will not just test features.
You will build the system that guarantees quality.
1. Build an automated regression system
- Create a test suite that catches 90%+ of conversation quality issues before release
- Cover:
- Conversation flows
- Edge cases
- Multilingual behavior
- Ensure regression testing is:
- Fast
- Reliable
- Mandatory before deployment
2. Own conversation test harness
- Build a system to simulate:
- Real user conversations
- Edge cases
- Failure scenarios
- Enable teams to:
- Test workflows quickly
- Validate changes before release
- Make daily releases safe and repeatable
3. Reduce production incidents
- Bring P1 incidents down to <1 per account per month, even at 5x scale
- Identify:
- Root causes
- Recurring failure patterns
- Ensure issues are fixed permanently, not patched temporarily
4. Define quality standards
- Establish clear definitions of:
- What is a bug
- What is acceptable quality
- Create:
- QA benchmarks
- Release gates
- Ensure quality is measurable, not subjective
5. Enable fast and safe releases
- Work closely with:
- Engineering
- Product
- Conversation design
- Ensure:
- Testing does not slow down shipping
- Shipping does not compromise quality
6. Move toward zero-bug production mindset
- Build systems where:
- Bugs are rare
- Failures are predictable
- Drive a culture where:
- Quality is owned by everyone
- QA enables, not blocks
What success looks like
- ≥ 90% of bugs caught before production
- P1 incidents drop to <1 per account per month
- Teams can ship daily without fear
- Conversation quality remains consistent at scale
- Production issues become rare and predictable
Who you are
- You have 2-3 years of experience in QA / testing / automation
- You have built:
- Automated test systems
- Regression suites
- You think in:
- Systems
- Failure modes
- You care about:
- Quality
- Reliability
- Real-world performance
What will make you stand out
- Experience testing:
- Conversational systems
- AI / chatbot / voice systems
- Strong understanding of:
- Automation frameworks
- API testing
- End-to-end testing
- Ability to:
- Design test strategies, not just execute them
Why join
- You will define quality standards for an AI platform
- Your work directly impacts:
- Customer experience
- Reliability
- Product trust
- You will move the system from:
- Reactive QA → predictive quality systems
What this role is not
- Not manual testing only
- Not a release blocker
- Not reactive bug reporting
What this role is
- A builder of quality systems
- A guardian of production reliability
- A multiplier of engineering confidence
One question to self-evaluate
Can you build a testing system where bugs are caught before users ever see them?
Shubham Vishwakarma
Full Stack Developer - Averlon
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