QA Engineer
We’re Hiring: QA Engineer (AI Platform) – Remote Job Title: QA EngineerWork Mode: RemoteShift: 7:30 PM IST – 4:30 AM ISTExperience: 3+ Years About the Role We are looking for a proactive and hands-on QA Engineer to join our AI platform team. This is an early-stage role where you will work closely with the Principal […]
About the role
We’re Hiring: QA Engineer (AI Platform) – Remote
Job Title: QA Engineer
Work Mode: Remote
Shift: 7:30 PM IST – 4:30 AM IST
Experience: 3+ Years
About the Role
We are looking for a proactive and hands-on QA Engineer to join our AI platform team.
This is an early-stage role where you will work closely with the Principal QA Engineer, owning test coverage end-to-end and ensuring AI-generated outputs are reliable, accurate, and ready for real-world business use.
Key Responsibilities
A. Core Testing & Automation
- Write and maintain automated test suites (unit, integration, end-to-end)
- Own test domains from design to execution and regression coverage
- Build evaluation pipelines for AI/LLM outputs including prompt testing and quality scoring
B. AI & Agent Testing
- Test agent orchestration systems and governance workflows
- Detect model drift and prompt sensitivity issues
- Validate AI-generated outputs for accuracy and reliability
C. Platform & Integration Testing
- Test data ingestion pipelines across systems (CRM, email, documents, financial data)
- Validate file ingestion (Word, Excel, PowerPoint, PDF) including edge cases
- Test streaming responses, latency, and fallback mechanisms
D. Data & System Validation
- Validate knowledge graph outputs and data retrieval accuracy
- Ensure system performance under real enterprise data conditions
Required Skills
- 3+ years of QA Engineering experience
- Strong programming skills in Python
- Hands-on experience with Playwright and Vitest
- Experience testing AI/LLM-based applications
- Strong understanding of API testing, async systems, and workflows
- Ability to independently own testing responsibilities
- Strong analytical and problem-solving skills
Tech Stack Exposure
- AI/LLM: Anthropic Claude, OpenAI GPT, multi-model routing
- Backend: Python (FastAPI), async systems
- Data: Memgraph, Neo4j, Qdrant, PostgreSQL, Redis
- Frontend: React, Next.js, TypeScript
- Cloud: Google Cloud Platform, Azure
- DevOps: GitHub Actions, Docker
- Testing: Playwright, Vitest
Nice to Have
- Experience with LLM evaluation frameworks (LangSmith, PromptFlow, etc.)
- Exposure to agent-based systems or orchestration frameworks
- Experience in regulated industries (finance, healthcare, etc.)
Salary
As per industry standards
What you'll do
- Own delivery for client-facing web, mobile, AI, cloud or digital transformation work based on the role.
- Collaborate with project managers, designers, QA and client stakeholders through discovery, build, launch and support.
- Write clear documentation, communicate risks early and keep delivery quality high.
- Contribute to reusable engineering practices, reviews and mentoring inside the WebSenor team.
What we're looking for
- Strong hands-on experience relevant to this role and a portfolio of shipped production work.
- Clear communication, ownership mindset and ability to work with global clients.
- Comfort with delivery discipline: estimation, reviews, testing, documentation and release readiness.
- Ability to learn fast and work across modern product, engineering and AI-enabled workflows.
What you'll get
- Work on real enterprise client projects with measurable business outcomes.
- Collaborate with experienced engineering, design, QA and delivery teams.
- Growth through mentoring, project ownership and exposure to global clients.
- HR-approved compensation, benefits and policies as finalized during the offer process.
About the team
You will work with WebSenor project managers, UI/UX designers, QA engineers, cloud specialists and senior developers focused on quality delivery for enterprise clients.
Our hiring process
- Application Review: HR and delivery leadership review your profile for role fit.
- Technical Discussion: Meet the technical team for skill, communication and project-readiness evaluation.
- Final Conversation: Discuss compensation, joining timeline and team fit.
- Offer and Onboarding: Receive the offer, documentation checklist and onboarding plan.
Apply for this role.
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