AI Creative Engineer
Salary
£13.85/hour
Hours
40
Location
Remote
Closing Date
31 December 2025
Position Type
Full Time
Advert expires on
31 December 2025
Main Duties
Contribute to PONS.ai’s rapid growth in pioneering genAI hyper-personalized engagements with brands worldwide.
Key Responsibilities
In this role, you will blend deep technical expertise with a creative passion to:
– Train, fine-tune and prompt engineer genAI models for multimedia marketing and advertising formats including image, video, text, etc.
– Rapidly experiment, prototype and iterate with clients’ needs to deliver something that they love (e.g. AI photo booths, short video ads, personalized merch designs, etc.)
– Rapidly research, develop, deploy and optimize proprietary pipelines and AI agents
– Work cross-functionally across AI, product and go-to-market functions
Skills and Experience Required
Requirements
To succeed in this role, you:
– Are an innovative, hard-working and independent fast learner who is passionate about using genAI to delight people and brands
– Are excited to create marketing and advertising engagements that often have never been done before
– Are a responsive, detail-oriented and effective communicator responsible for owning multiple client engagements at the same time
– Love the cutting-edge of genAI innovation — you must always be updated on the latest developments in the field, read AI-related research papers, and comfortable diving into documentations for proprietary R&D
– Have a strong experience training / fine-tuning / prompt engineer genAI models for multimedia formats
– Have a strong experience with Python and managing Python environments (e.g. conda / pip)
– Have a strong experience with AI coding tools e.g. Cursor
– Have experience building AI agents
– Have experience with git version control
– Have / are studying towards a minimum bachelor’s degree in Computer Science, Engineering, or a related field
– Have experience working in marketing and advertising / creative industries / design
– Want to develop a career in generative AI for creative use cases
– (Optional) Have experience with cloud platforms (e.g. Microsoft Azure, GCP, AWS, etc.)