Prompt Engineer (Generative AI): HeartStamp

HeartStamp is a pre-Series A startup building a first-of-its-kind generative AI platform, with an MVP launching in December. HeartStamp is a generative AI gifting platform that transforms personalized images and videos into premium tactile products through a hybrid AI engine and creator-driven economy. Our mission is to empower creativity by enabling users to produce unique, high-resolution images and videos that become highly resonant tactile products. We operate with a true remote work culture with a team of employees and contractors in 12 different countries.

About the Role: We’re hiring a creative, technically skilled Prompt Engineer to push the boundaries of gen-AI. The role blends artistry with structured experimentation to develop, refine, and document prompting strategies for state-of-the-art image and video models. This is a foundational opportunity with room for growth and more hours post-MVP/Series A.

Responsibilities:

Develop, test, and refine prompts for advanced models (e.g., Qwen-Image, Flux Dev/Kontext, Wan2.2 video, Kling2.1).

Build internal prompt libraries, style guides, and best practices for specific creative/technical outcomes.

Collaborate with engineering, design, and research to align outputs with user needs.

Probe model quirks/constraints; fine-tune prompting for consistency.

Contribute to LoRA workflows where prompting improves dataset quality.

Produce clear documentation, cheat sheets, and internal guides.

Track advances in multimodal AI, prompt engineering, and fine-tuning (e.g., LoRAs).

Requirements:

Experience: Prefer at least a couple of years of hands-on experience with this as a serious hobby or professionally.

Technical Skills: Strong grasp of prompt engineering for image/video; solid understanding of generative AI (diffusion, video models, VLMs) across paradigms (diffusion, transformer, closed-source APIs).

Soft Skills: Creative problem-solver with an eye for design, aesthetics, and storytelling; excellent communicator and documenter.

Bonus Qualifications:

Dataset curation and LoRA training.

Python scripting to automate workflows and test prompt variations.

Experience with Hugging Face Diffusers, ComfyUI, and model APIs.

Application Note: Please send a resume & non-AI-generated cover letter.