Senior AI Engineer - .NET, Kafka & Generative AI (Hybrid)

Senior AI Engineer - .NET, Kafka & Generative AI (Hybrid)

Full-Time 67500 - 82500 Β£ / year (est.) Home office (partial)
Gazelle Global

At a Glance

  • Tasks: Design and deliver enterprise-scale AI solutions using .NET, Kafka, and Generative AI.
  • Company: Gazelle Global, a leader in innovative AI technology.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Work in a collaborative environment with strong leadership opportunities.
  • Why this job: Join a dynamic team and shape the future of AI with cutting-edge technologies.
  • Qualifications: 10+ years in software engineering with expertise in microservices and cloud platforms.

The predicted salary is between 67500 - 82500 Β£ per year.

Gazelle Global is seeking an experienced AI Engineer to design and deliver enterprise-scale AI solutions.

You will work across .

NET, Kafka, Generative AI and cloud technologies to build intelligent, scalable, real-time applications.

The role requires 10+ years of software engineering experience, strong leadership, and expertise in microservices, LLMs, and cloud platforms.

Hybrid work model with 2–3 days in the office offered in London or Coventry.

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Senior AI Engineer - .NET, Kafka & Generative AI (Hybrid) employer: Gazelle Global

Join a leading organisation at the forefront of cyber security transformation in London, where you will play a pivotal role in delivering critical initiatives. Our collaborative work culture fosters innovation and growth, offering ample opportunities for professional development and advancement within a dynamic environment. With competitive rates and a commitment to employee well-being, we ensure that our team members thrive both personally and professionally.

Gazelle Global

Contact Details:

Gazelle Global Recruitment Team

We think you need these skills to ace Senior AI Engineer - .NET, Kafka & Generative AI (Hybrid)

.NET
Kafka
Generative AI
Cloud Technologies
Software Engineering
Microservices
Leadership