AI Engineer: Agentic Systems for Regulated Finance (Hybrid)

AI Engineer: Agentic Systems for Regulated Finance (Hybrid)

Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Develop AI systems for financial services and enhance customer support.
  • Company: Join a dynamic London startup at the forefront of AI innovation.
  • Benefits: Enjoy hybrid work, competitive salary, and opportunities for growth.
  • Other info: Collaborate with a prestigious team and thrive in a fast-paced environment.
  • Why this job: Make a real impact in finance with cutting-edge AI technology.
  • Qualifications: Experience in AI system development and knowledge of regulatory compliance.

The predicted salary is between 70000 - 90000 Β£ per year.

Jack & Jill is looking for an AI Engineer to join Gradient Labs, a London-based startup focused on revolutionizing customer support through cutting-edge AI. You will work alongside a prestigious team to develop systems that engage with critical financial services, achieving remarkable results in just four months.

The ideal candidate will have a solid background in building AI systems, paired with a deep understanding of regulatory compliance, in a hybrid work setting.

AI Engineer: Agentic Systems for Regulated Finance (Hybrid) employer: Jack & Jill

At Jack & Jill, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London-based Gradient Labs team is dedicated to pushing the boundaries of AI in regulated finance, providing employees with unique opportunities for professional growth and development. With a hybrid work model, we ensure a flexible environment that supports work-life balance while driving impactful results in the industry.

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Contact Details:

Jack & Jill Recruitment Team

We think you need these skills to ace AI Engineer: Agentic Systems for Regulated Finance (Hybrid)

Python
Problem-Solving Skills
SQL
Data Engineering
Communication Skills
Data Pipeline Development
API Integration