AI Solutions Engineer - Scale Impactful Workflows in Bristol

AI Solutions Engineer - Scale Impactful Workflows in Bristol

Bristol Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
BGBx

At a Glance

  • Tasks: Design and develop AI-enabled applications to enhance operational efficiency.
  • Company: BGBx, a collaborative and innovative tech company in Bristol.
  • Benefits: Competitive salary, robust benefits package, and a supportive work culture.
  • Other info: Join a dynamic team focused on innovation and collaboration.
  • Why this job: Make a real impact in the healthcare sector with cutting-edge AI technology.
  • Qualifications: 5+ years of software engineering experience and knowledge of AI/LLM technologies.

The predicted salary is between 60000 - 80000 Β£ per year.

BGBx, located in Bristol, is seeking an AI Software Engineer to design and develop AI-enabled applications. This role is pivotal in creating solutions that enhance operational efficiency and knowledge management.

The ideal candidate will have at least 5 years of software engineering experience and familiarity with AI/LLM technologies.

BGBx offers a competitive salary, a robust benefits package, and a culture grounded in collaboration and innovation. Join us to make a real impact in the healthcare sector.

AI Solutions Engineer - Scale Impactful Workflows in Bristol employer: BGBx

BGBx is an exceptional employer located in the vibrant city of Bristol, offering a dynamic work environment where collaboration and innovation thrive. With a strong focus on employee growth, we provide ample opportunities for professional development alongside a competitive salary and comprehensive benefits package. Join us to contribute to meaningful projects that make a significant impact in the healthcare sector.

BGBx

Contact Details:

BGBx Recruitment Team

We think you need these skills to ace AI Solutions Engineer - Scale Impactful Workflows in Bristol

Software Engineering
AI Technologies
LLM Technologies
Application Development
Operational Efficiency
Knowledge Management
Collaboration