AI-Native QA Automation Engineer

We believe the next generation of financial services will be powered by stablecoins. Founded in 2021, our mission at BVNK is to accelerate global money movement. We’re building stablecoin-native infrastructure so businesses can move value instantly across borders and networks. With global licenses and T1 bank partnerships, we facilitate billions in transactions for enterprise clients like Worldpay, Deel, LianLian Global, and Rapyd. Our technology is transforming how businesses operate globally by eliminating payment delays, reducing costs, and unlocking trapped capital. We’re a diverse team spread across EMEA, North America, and APAC, with a shared belief that stablecoins are the new infrastructure layer for financial services, and that BVNK is at the forefront of this shift. In 2025, we secured strategic investment from Visa, following our $50 million Series B with Haun Ventures, Coinbase Ventures, Scribble Ventures, DRW Venture Capital, Avenir, and Tiger Global. With the backing of these leading investors, we’re accelerating our growth – and we’re looking for smart, ambitious people to help us build the future of financial services.

• Early adopter of LLMs and agentic workflows, using AI to architect solutions.
• Expert-level proficiency in Python and ability to navigate Java environments.
• Hands-on experience with PyTest, Playwright, and K6.
• Experience implementing AI solutions for test case generation and automated bug triaging.
• Familiarity with CI/CD concepts and integration of AI-driven testing into deployment lifecycle.
• Exceptional attention to detail and ability to move fast in a rapidly evolving FinTech environment.

Nice to have:

• Experience building custom GPTs or using LangChain/LangSmith/LangGraf to evaluate LLM-based product features.
• Previous experience in payments, stablecoins, or blockchain technology.
• Experience experimenting with autonomous agents for exploratory testing.

Key Areas of Responsibilities:

• Architect and maintain automation frameworks that prioritize AI-powered solutions for test generation, execution, and self-healing.
• Implement AI-driven gates in our CI/CD pipeline to predict regression risks before code is merged.
• Leverage Generative AI to create complex, high-integrity test data sets for diverse global payment scenarios.
• Use AI to analyze logs and system behavior, providing insights that traditional testing tools miss.
• Act as the subject matter expert on emerging AI tools (Claude Code, LangChain) to upskill the broader QA team.