QA Engineer

We are looking for a senior full-stack engineer who owns quality and verification in an AI-native delivery environment — combining deep engineering judgment with AI tools to review, validate, and test code and AI-driven behavior across the full stack, from generated code to production output.

Key Responsibilities

• Review and verify code produced by AI coding agents — assessing correctness, architecture, performance, and security to the standard of a senior engineer, not surface-level testing.
• Own quality end-to-end before releases ship: deep manual, exploratory, and scenario-based testing across both AI and non-AI features, plus fix verification and regression prevention.
• Evaluate AI-powered features — LLM-based flows, recommendation engines, decision logic — validating outputs for correctness, consistency, bias, hallucination risk, and edge cases, with clear qualitative and quantitative acceptance criteria.
• Identify non-determinism, prompt sensitivity, and reliability risks specific to AI systems, and propose practical mitigations.
• Build and maintain automated evaluation and regression pipelines for AI-enabled systems — using AI agents (Cursor, Claude Code) in your own verification workflow.
• Partner with engineers and product to improve testability, observability, and overall release quality, and to raise the bar on AI-assisted delivery practices.
  

Required Skills

• AI-Native Development: Cursor or Claude Code (or equivalent agentic tools); prompt engineering, applied to both building and verifying
• Engineering depth: 8+ years across the full stack, strong enough to review and validate another engineer’s (or AI’s) code
• Front-End: React or Angular, with TypeScript / JavaScript
• Back-End: Java, Node.js, or Ruby
• AI system behavior: solid understanding of non-determinism, prompt sensitivity, and the challenges of validating model outputs
• Test automation: Playwright, Cypress, Selenium, or comparable (UI and/or API)
• Data: SQL and NoSQL (e.g. MongoDB)
• Infrastructure: Docker, CI/CD, and a major cloud (AWS, Azure, or GCP)
• Proven ability to own a full verification and test strategy, not just execute test cases
• Upper-intermediate English (B2+)
  
  

Nice to Have

• AI evaluation frameworks, prompt testing, or model validation techniques
• Agentic QA concepts and AI-assisted testing workflows
• Observability tooling and its role in production quality
• Python (FastAPI / Django), Spring Boot, Next.js
• Kubernetes, serverless & event-driven architectures
• High-growth startup or product-led company background
  
  

Personal Attributes

• Sharp analytical thinking and attention to detail — notices what others miss
• Autonomous & proactive — owns quality without being told what to check
• Strong engineering judgment and a reviewer’s mindset
• Strong team player
• Excellent communication
• Eager to learn & adapt fast
  
  

What We Offer

• Competitive compensation and benefits package.
• Remote-first work with a flexible schedule.
• Opportunities for professional growth, training, and certifications.
• A dynamic environment where innovation, security, operational excellence, and cutting-edge ML technologies are highly valued.
• Projects that span cutting-edge AI, UX, fintech, and healthtech domains.

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