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 1st Sunday
November 2026 
UAE UAE
Job-Id: 54971

Applied AI Engineer

Fuse Energy
Industry Type
Computer Programmer AutoCad, Graphic Designer.
Functional Area
Engineering
Nationality
Any
Keywords
Investor Relations
Job Description

Fuse Energy is seeking an Applied AI Engineer to join their team in Dubai, UAE. The role is in the engineering field within the computer programming, AutoCAD, and graphic design industry.

Position
Applied AI Engineer
Company
Fuse Energy
Location
Dubai, UAE
Industry
Computer Programmer AutoCad, Graphic Designer.
Experience
1 to 20 years
Show the original advert
Fuse Energy is an innovative energy startup on a mission to make energy abundant, affordable, and accessible at rapid speeds. By fusing first-principles thinking with cutting-edge technology, we strive to build a fundamentally better energy system. To date, we have successfully raised over $200 million from top-tier investors such as Balderton, Lakestar, Accel, Creandum, and Lowercase Capital.

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About the role: Applied AI Engineer

General information about this type of role, not from the employer. The employer's actual requirements may differ, so always check the job details above.

Applied AI Engineers design and develop artificial intelligence solutions to solve real-world problems. They typically work in technology companies, design firms, or industries that integrate AI with software like AutoCAD and graphic design tools.

What this role usually involves

  • Develop and implement AI models and algorithms.
  • Collaborate with software developers and designers to integrate AI into applications.
  • Analyze data to improve AI system performance.
  • Test and troubleshoot AI applications.
  • Stay updated with the latest AI technologies and trends.

Skills employers usually look for

  • Strong programming skills in languages like Python or Java.
  • Knowledge of machine learning and deep learning techniques.
  • Familiarity with AI frameworks and tools.
  • Ability to work with design software such as AutoCAD or graphic design programs.
  • Problem-solving and analytical thinking.
  • Good communication and teamwork skills.

Usual qualifications

  • A degree in computer science, artificial intelligence, or a related field.
  • Knowledge of AI and machine learning concepts.
  • Experience with programming and software development.
  • Understanding of design software can be beneficial.

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