Lead AI QA Engineer for WealthTech with LLMs and AWS

Lead AI QA Engineer for WealthTech with LLMs and AWS

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead quality assurance for AI-driven wealth management features and build automation testing suites.
  • Company: Chip Financial Ltd, a forward-thinking company in the WealthTech space.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Exciting role with significant impact on innovative financial solutions.
  • Why this job: Join a dynamic team and shape the future of wealth management with cutting-edge AI technology.
  • Qualifications: Expertise in TypeScript and experience in quality strategy for complex architectures.

The predicted salary is between 63000 - 77000 Β£ per year.

Chip Financial Ltd in London is seeking a Senior AI QA Engineer to lead quality for our AI-driven wealth management platform.

You will own the strategy for non-deterministic, LLM-powered features and build automation and performance testing suites across a Type Script microservices architecture.

This high-impact role requires hands-on Type Script expertise, a track record of owning quality strategy for complex service architectures, and strong observability using tools like Datadog.

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Lead AI QA Engineer for WealthTech with LLMs and AWS employer: Jack & Jill

At Jack & Jill, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our team enjoys a range of benefits including flexible working arrangements, professional development opportunities, and a collaborative environment that encourages creativity and growth. Located in a vibrant area, we offer unique advantages such as access to cutting-edge technology and the chance to work with industry leaders in AI-driven marketing strategies.

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Contact Details:

Jack & Jill Recruitment Team

We think you need these skills to ace Lead AI QA Engineer for WealthTech with LLMs and AWS

TypeScript
Automation Testing
Performance Testing
Quality Strategy
LLM (Large Language Models)
Microservices Architecture
Observability