Generative AI Engineer

About Alphanext

Alphanext is a global talent solutions company with offices in London, Pune, and Indore. We connect top-tier technical talent with forward-thinking organizations to drive innovation and transformation through technology.

Position Summary

Alphanext is hiring a Generative AI Engineer with expertise in deploying, fine-tuning, and scaling models within the Stability.AI ecosystem. This role is ideal for candidates with a strong background in applied AI/ML and a deep understanding of diffusion models, prompt engineering, and creative automation. You will work closely with UX, creative, and product teams to integrate AI into real-world apparel design and content workflows.

Key Responsibilities

• Design and deploy custom AI models and pipelines using Stability.AI platforms (e.g., Stable Diffusion, DreamStudio, APIs).

• Fine-tune and adapt models for apparel-specific use cases such as texture generation, design prototyping, and sketch transformations.

• Collaborate cross-functionally with UX, Creative, and Brand teams to test and iterate on generative AI outputs.

• Support integration of GenAI capabilities into enterprise platforms like PLM (Product Lifecycle Management), DAM (Digital Asset Management), and creative review workflows.

Required Skills

• 3+ years of hands-on experience in applied AI/ML with a focus on Stability.AI or Hugging Face model development and tuning.

• Strong understanding of diffusion models, prompt engineering, and token management.

• Proficiency in Python and frameworks like PyTorch or TensorFlow.

• Demonstrated experience deploying AI models in production settings and optimizing model pipelines.

• Exposure to creative content generation, preferably in fashion, apparel, or design-centric environments.

Nice to Have / Preferred Skills

• Familiarity with integrating GenAI into creative tooling and digital asset workflows.

• Experience collaborating with design teams and non-technical creative stakeholders.

• Understanding of UI/UX implications when using generative models in end-user applications.

Qualifications

• Bachelor//'s or Master//'s degree in Computer Science, Artificial Intelligence, or a related technical field.

• 7+ years of total professional experience, including 3+ years in generative AI or applied machine learning roles.