Applied AI Engineer β€” End-to-End AI for Real-World Workflows

Applied AI Engineer β€” End-to-End AI for Real-World Workflows

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

At a Glance

  • Tasks: Build and deploy AI features that automate real-world workflows.
  • Company: Exciting London startup with a world-class team from top tech companies.
  • Benefits: Competitive salary, flexible work environment, and hands-on experience in AI.
  • Other info: Collaborate directly with customers and enjoy excellent career growth opportunities.
  • Why this job: Own AI systems end-to-end and make a real impact in aerospace and healthcare.
  • Qualifications: Experience in AI development and a passion for innovative solutions.

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

Seamflow.com, a London startup, is hiring an Applied AI Engineer to build and deploy LLM-powered features that automate complex real-world workflows. You will own AI systems end-to-end, from data extraction to multi-step agents, and ship immediately with a world-class team from Google, Amazon, and X. This role offers true ownership and the chance to work on production-grade AI in aerospace and healthcare domains, collaborating directly with customers to iterate on models and outputs.

Applied AI Engineer β€” End-to-End AI for Real-World Workflows 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.

J

Contact Details:

Jack & Jill Recruitment Team

We think you need these skills to ace Applied AI Engineer β€” End-to-End AI for Real-World Workflows

AI Systems Development
Data Extraction
LLM (Large Language Model) Implementation
Workflow Automation
Multi-step Agent Design
Production-grade AI Deployment
Collaboration with Customers