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.
Experience 8+ Years in software development 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 • A fast-paced, product-first environment where your work has direct impact. • Flexible working practices. • Competitive salary. • Training program allowance to keep your skills sharp. • Real challenges and meaningful personal growth. • A respectful, inclusive team culture with regular team-building activities.
