Junior AI Engineer β€” Build Real AI Tools & Workflows

Junior AI Engineer β€” Build Real AI Tools & Workflows

Full-Time 72000 - 88000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build AI-powered tools and automate workflows in a dynamic fintech environment.
  • Company: Join InvestCloud, a leader in innovative financial technology.
  • Benefits: Gain hands-on experience, mentorship, and opportunities for career growth.
  • Other info: Collaborate with experienced teams and own your projects from start to finish.
  • Why this job: Make a real impact by creating practical AI solutions that enhance productivity.
  • Qualifications: Early-career software engineering skills and a passion for AI technology.

The predicted salary is between 72000 - 88000 Β£ per year.

Invest Cloud is seeking an early-career software engineer to join the PMN engineering team.

You will build practical AI-powered tools, connect systems, and create internal applications that automate workflows across PMN and Invest Cloud's ecosystem.

You'll work with experienced engineers, product and operations teams, and have opportunities to own end-to-end builds, experiment with AI tooling, and contribute to production-ready solutions in a fast-moving fintech environment.

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Junior AI Engineer β€” Build Real AI Tools & Workflows employer: InvestCloud, Inc.

InvestCloud is an exceptional employer that fosters a dynamic and innovative work culture, where Product Managers are empowered to bridge strategy, product, and technology with autonomy and creativity. With a strong commitment to employee growth, the company offers competitive compensation, a hybrid working model, and ample opportunities for collaboration across global teams, making it an ideal place for those seeking meaningful and rewarding careers in the fintech space.

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Contact Details:

InvestCloud, Inc. Recruitment Team

We think you need these skills to ace Junior AI Engineer β€” Build Real AI Tools & Workflows

Software Engineering
AI Tool Development
Workflow Automation
System Integration
Collaboration with Cross-Functional Teams
End-to-End Project Ownership
Experimentation with AI Technologies