AI Engineer (Image/Video Generation)

Requirements

• Hands-on experience in Generative AI, AI automation, creative tech, media generation, or similar fields.
• Practical understanding of image/video generation and multi-step workflows.
• Ability to work not only with single generations, but with repeatable systems that can be tested, improved, and scaled.
• Experience with generative models across different scenarios: text-to-image, image-to-image, image-to-video, video-to-video, or multimodal workflows.
• Strong prompt engineering skills for image and video models.
• Ability to independently assess visual quality of generated outputs: composition, lighting, consistency, product alignment, and overall creative quality.
• Understanding of UGC/ad content, product-focused generation, and performance-oriented creative formats.
• Analytical thinking: ability to identify cause-and-effect relationships when diagnosing and improving generation systems.
• Experience integrating AI solutions through APIs, no-code/low-code tools, scripts, or other technical approaches.
• Creative thinking combined with engineering structure.
• Ability to explain complex technical concepts in simple language.
• Experience with generative AI workflow tools and approaches such as ComfyUI, n8n or similar automation platforms, LLM/agent-based workflows, LoRA tuning or fine-tuning image/video models.
• Practical experience with Python or AI/ML libraries.
• Experience working with media processing tools: ffmpeg, moviepy, imageio, pydub, or similar.
• Experience building internal AI/creative tools for designers, producers, marketers, or content teams.
• Experience in performance marketing, ad tech, UGC, creative automation, or advertising products.
• Why It Is Exciting To Work With Us:
• Work with cutting-edge technologies and contribute to building AI-powered tools.
• Join a strong A-level team that motivates you to grow and achieve more.
• Remote-first approach: work from anywhere, with the option to visit our offices in Warsaw and Kyiv.
• Paid day offs and sick leaves - we care about your work-life balance.
• Regular performance reviews to ensure your growth is transparent and rewarded.
• Financial support - consultations for private entrepreneurs from our dedicated finance team.
• Recruitment Process: Intro call > Test Task > Hiring Team Interview > Final Interview > Reference Check > Offer
• Send us your CV - we'd love to get to know you better!

Benefits

Additional Information

Join us as an AI Engineer (Image & Video Generation) and help us build automated image and video generation pipelines for next-generation advertising content. Zeely is an AI marketing platform that helps small businesses create UGC videos, ad banners, product visuals, and launch effective campaigns on Facebook and Instagram. We help businesses become visible, grow faster, and create marketing content without agencies or complex tools. We already have 1M+ users in the US, are ranked among the Top-3 products in our category on the US market, and continue growing more than 4x year-over-year. Our team has grown to over 160 specialists. We are not looking for someone tied to one specific tool. We are looking for a specialist who understands how to turn a creative idea, product, or business context into a high-quality image/video creative - in a stable, scalable, and product-oriented way Your Key Responsibilities: Design and improve generative pipelines for image and video creation. Build quick prototypes, demos, and internal tools to validate new generation approaches. Optimize image-to-video, text-to-video, and reference-based generation workflows for stable and reproducible results. Work with UGC videos, product visuals, avatars, hooks, static ads, and other advertising formats. Tune and control generation behavior: visual quality, style consistency, product fidelity, and reference alignment. Diagnose quality bottlenecks: artifacts, instability, product distortions, inconsistency, weak lighting, poor composition. Extend generative systems for new products, creative formats, and marketing scenarios. Research and test new image/video models, tools, and workflows, separating hype from real product value. Document workflow logic, prompts, parameters, model choices, experiments, and decisions to ensure reproducibility and smooth handoff to Product, Creative, Content, and Engineering teams.

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