QA Engineer Intern (6 months)

Job summary

Responsibilities

You’ll own an end-to-end project that moves a real QA bottleneck from manual effort to intelligent tooling. You will build something the QA engineering teams use in their day-to-day work, not a proof of concept that stays on a shelf.

• AI-driven release validation: build a “release copilot” that analyzes release tickets and code changes to compute risk scores and generate risk-based test plans.
• Functional coverage and test gap analysis: use code intelligence and LLMs to detect shipped features, feature flags, and endpoints, map them against environment configurations…
• Synthetic test data and environment provisioning: design a data generation and seeding pipeline (CLI / API) that produces realistic, deterministic, and privacy-compliant…
• Your profile and requirements✅:
• You are currently in your final year (BAC+5, Master 2 or engineering school) in Computer Science, Software Engineering, Data, or AI.

What they're looking for

• Talent Acquisition interview (30 min)
• Technical interview 1 (60 min)
• Hiring manager interview (60 min)
• Flexible remote and hybrid working options
• Competitive Salary and a variable component tied to personal and company performance

Tech stack

• Python
• TypeScript
• LangChain
• Docker
• Kubernetes
• SQL
• React
• FastAPI