Senior Software Engineer – Full Stack & Generative AI Champion

Job Description:

Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies in the US to the top of the list.

Pattern is the premier partner for global ecommerce acceleration and is headquartered in Utah's Silicon Slopes tech hub—with offices in Asia, Australia, Europe, the Middle East, and North America. Valued at $2 billion, Pattern has been named one of the fastest growing tech companies in North America by Deloitte and one of best-led companies in America by Inc. More than 100 global brands—like Nestle, Sylvania, Kong, Panasonic, Sorel, and Pandora—rely on Pattern's global ecommerce acceleration platform to scale their business around the world. We place employee experience at the center of our business model and have been recognized as one of America's Most Loved Workplaces®.

We are looking for a Full Stack Engineer to spearhead the development and deployment of AI-generated solutions. You will play a key role in building internal automation platforms and customer-facing products that drive success for brands in the ecommerce space. Our fast-paced engineering culture encourages experimentation and rewards those who can transform ideas into functional software.

In this role, you will translate product manager's solution concepts into reality, while championing our AI-first development vision. You will take ownership of the end-to-end delivery of full-stack applications, mentor colleagues in the latest technologies, and collaborate with a global team of engineers. Additionally, you will be a leader in the technical integration of AI into every process throughout the company.

Frequently Asked Questions

What is a day in the life of an AI Content Engineer?

• Architect, build, and deploy internal tools and external proof‑of‑concept products in short, iterative cycles.

• Act as AI Technical Lead—evaluate emerging models, set standards for AI‑assisted coding, testing, and DevOps, and guide the team in adopting those practices. We have a dedicated budget to explore bleeding‑edge tech, and you’ll shape how it’s spent.

• Integrate generative‑AI capabilities (LLMs, embeddings, multimodal models, agents) to solve real business problems and open new markets.

• Guide Junior Engineers through code reviews, pair programming, and goal setting.

• Collaborate across time zones, partnering with product managers, designers, and engineers in the U.S. and India.

• Own quality and operability, from automated testing to observability and CI/CD.

• Champion engineering best practices while keeping speed and pragmatism front‑of‑mind.

What will I need to thrive in this role?

• 5 + years of professional software engineering experience delivering production full‑stack applications.

• Proficiency with at least one modern front‑end framework (e.g., React) and one back‑end language/runtime (e.g., Python/FastAPI, Node.js).

• Hands‑on experience with relational databases and SQL; familiarity with PostgreSQL or Snowflake is a plus.

• Proven success deploying to a major cloud platform—AWS preferred.

• Demonstrated ownership: you’ve taken a 0 → 1 product or complex feature from design through launch.

• Curiosity or hands‑on work with generative AI (prompt engineering, fine‑tuning, vector search, LangChain/LangGraph, etc.).

• Experience evaluating or integrating developer‑productivity AI tools (Copilot, CodeWhisperer, test‑generation, DevOps assistants, etc.).

Nice to have in this role: 

• Experience mentoring or managing junior engineers.

• Prior work in high‑growth startups or hackathon environments.

• Familiarity with event‑driven architectures, serverless patterns, or data‑intensive applications.

• Contributions to open‑source AI/ML or developer‑tooling projects.

What will make me stand out during the interview process?

• Demonstrated experience in implementing successful AI content initiatives.

• Portfolio showcasing projects involving AI-generated content.

• Knowledge of the latest advancements in AI for content creation.