Our hiring partner, a premier portfolio of globally recognized lifestyle brands, is seeking an accomplished Staff Engineer to join the development of AI-powered visual experiences, with a primary focus on building and operationalizing image and video generation systems. This is a unique opportunity for an experienced engineer to join a mission-driven team integrating generative AI solutions with creative tools and production workflows.

In this role, the individual will own the engineering side of multi-model generative pipelines, transforming research prototypes into reliable, scalable services that power AI-first innovations across the digital ecosystem. Working at the intersection of software engineering and generative AI, this engineer will collaborate closely with a talented cross-functional team of data scientists, UX designers, product managers, creative partners, and domain experts to deliver significant business impact.

This position focuses on making generative systems robust, efficient, and production-ready. The ideal candidate brings deep software engineering fundamentals, comfort with agentic AI tooling, and sufficient generative AI fluency to orchestrate multi-step visual workflows, manage prompts at scale, and reason about output quality—even if they are not the one performing final model tuning or evaluation design.

If you are energized by the intersection of software engineering and generative AI, and you want to build the infrastructure and tooling that turns cutting-edge image and video models into real products, we invite you to help shape the future of intelligent, AI-native creative experiences.

Role Responsibilities

1. Pipeline Architecture: Design, build, and optimize end-to-end image and video generation pipelines—spanning generation, inpainting, upscaling, style transfer, conditioning, and post-processing—into production-ready, observable services with careful attention to cost optimization, latency reduction, and throughput at scale.
2. Orchestration & Microservices: Design and develop agentic workflows leveraging frameworks such as ADK, A2A, and LangGraph, alongside MCP servers built with FastMCP or similar technologies. Build and maintain microservices using FastAPI, GraphQL, or comparable frameworks to orchestrate and serve generative AI capabilities at scale.
3. Prompt Management: Develop robust prompt management systems and structured prompting strategies to ensure consistent visual output. This includes learning on the job to adapt prompts for fashion-specific and virtual try-on use cases, while engineering consistency mechanisms and quality gates in partnership with data scientists who own the evaluation methodology.
4. Model Integration: Integrate multimodal and vision-language models into production workflows for image understanding, automated tagging, captioning, and quality pre-screening, ensuring seamless operation within the broader AI ecosystem.
5. Cross-Functional Collaboration: Partner with Product Designers, Product Managers, Data Scientists, and fellow Engineers to translate brand and business requirements into scalable generative AI solutions. Evaluate emerging technologies, models, and vendors through rigorous proof-of-concept studies.
6. ML Architecture: Implement and maintain the ML architecture, including the data pipelines and applications that enable efficient training and inference of generative models in production environments. Champion best practices in full-stack algorithm engineering.
7. Technical Leadership: Propose, promote, and facilitate paved paths for algorithm integration and productization, laying foundational infrastructure for feedback loops and data flywheels. Foster strong cross-functional partnerships and mentor less experienced team members.

Role Qualifications

Must-Have

1. Generative AI Systems: A minimum of 1+ year of hands-on experience building or operationalizing image generation systems—including diffusion models and multimodal pipelines—in a professional applied context. Working familiarity with the rapidly evolving landscape of image and video generation models and modern orchestration patterns.
2. AI-Augmented Development: Proficient with AI-powered development tools such as Cursor, VS Code Copilot, Claude Code, or Gemini to accelerate code authoring and troubleshooting. Experience designing agentic workflows or AI orchestration systems using LangGraph, ADK, A2A, CrewAI, or similar frameworks. Familiarity with MCP (Model Context Protocol) is a strong plus.
3. Python & ML Frameworks: Strong proficiency in Python, with practical experience using PyTorch and/or Hugging Face for model serving, fine-tuning support, and inference optimization.
4. APIs, Distributed Systems & Cloud: A strong background in designing and building scalable RESTful APIs, microservices architecture, and high-availability distributed systems. Proficiency with Docker, container orchestration, cloud-native services, and cloud-based AI infrastructure. Hands-on experience with Terraform or similar Infrastructure-as-Code tooling.
5. Engineering Practices: A dedicated commitment to modern engineering practices including CI/CD pipelines, Test-Driven Development (TDD), and automated code quality standards. An excellent communicator who can bridge technical, data science, and creative teams. Comfortable operating with ambiguity and minimal oversight.
6. Education: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related quantitative field, or equivalent practical experience.

Nice-to-Have

1. Experience with video generation models, or with fashion, retail, or e-commerce applications of generative AI such as virtual try-on, AI product photography, or on-model image generation.
2. Experience building tooling and orchestration for model fine-tuning workflows—including LoRA, DreamBooth, ControlNet, IP-Adapter, and textual inversion—enabling data scientists to iterate quickly on adaptation techniques.
3. Background in computer vision fundamentals (segmentation, detection, embeddings) or experience with LLM evaluation frameworks for assessing generative outputs.
4. Experience with prompt engineering at scale, creative design tools (Adobe Photoshop, Firefly, Figma), or data pipeline orchestration (Airflow, dbt, or similar).

The Perks

Our client offers a comprehensive suite of Perks & Benefits to all eligible employees. Availability and eligibility may vary based on employment status and location, but generally include competitive medical, dental, and vision coverage, generous PTO, substantial employee discounts, and robust retirement savings plans.