Fullstack AI Software Engineer
Pattern
Full-time
On-site
Lehi, Utah, United States
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 headquartered in the US to the top of the list.
Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 46 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern’s ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces—including Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com or email [email protected].
Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek’s Global Most Loved Workplaces®.
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.
What is a day in the life of an Full Stack Senior Software Engineer (AI)
- 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 in 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.
- Ability to articulate the business value of AI-driven content solutions.
- Experience with PXM(Product Experience Management) software.
- Experience with LLM (Large Language Model) tuning and implementation.
What is the team like?
- You will work under the supervision of the Staff Software Engineer collaborating with a team of AI engineers based in both the US and India. The AI Engineering team at Pattern provides a work environment that values both autonomy and recognition, where you'll have the opportunity to set technical direction and receive credit for your accomplishments. You'll be joining a talented team of individuals who are passionate about AI and pushing the boundaries of what's possible. The team also provides a healthy AI exploration budget to encourage testing, adopting, and even building next-generation tooling, as well as competitive salary, equity, benefits, and a hardware and education stipend. The team also offers a flexible work schedule with robust remote-collaboration support.
Sounds great! What's the company culture?
- We are looking for individuals who are:
- Game Changers- A game changer is someone who looks at problems with an open mind and shares new ideas with team members, regularly reassesses existing plans and attaches a realistic timeline to goals, makes profitable, productive, and innovative contributions, and actively pursues improvements to Pattern’s processes and outcomes.
- Data Fanatics- A data fanatic is someone who recognizes problems and seeks to understand them through data, draws unbiased conclusions based on data that lead to actionable solutions, and continues to track the effects of the solutions using data.
- Partner Obsessed- An individual who is partner obsessed clearly explains the status of projects to partners and relies on constructive feedback, actively listens to partner’s expectations, and delivers results that exceed them, prioritizes the needs of your partners, and takes the time to reate a personable experience for those interacting with Pattern.
- Team of Doers- Someone who is a part of a team of doers uplifts team members and recognizes their specific contributions, takes initiative to help in any circumstance, actively contributes to supporting improvements, and holds themselves accountable to the team as well as to partners.
What is the hiring process?
- Initial phone interview with Pattern’s talent acquisition team
- Video interview with a hiring manager
- Take home case study
- Onsite interviews with panels of department leaders
- Professional reference checks
- Executive review
- Offer
How can I stand out as an applicant?
- Provide concrete examples of your experience with AI content deployment.
- Quantify your achievements with data and metrics.
- Demonstrate your understanding of the ecommerce and SaaS industries.
- Highlight your passion for AI and content innovation.
Why should I work at Pattern?
Pattern offers big opportunities to make a difference in the ecommerce industry! We are a company full of talented people that evolves quickly and often. We set big goals, work tirelessly to achieve them, and we love our Pattern community. We also believe in having fun and balancing our lives, so we offer awesome benefits that include:
- Unlimited PTO
- Paid Holidays
- Onsite Fitness Center
- Company Paid Life Insurance
- Casual Dress Code
- Competitive Pay
- Health, Vision, and Dental Insurance
- 401(k) match. Pattern matches 100% of the first 3% in eligible compensation deferred and 50% of the next 2% in eligible compensation deferred.
Pattern provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.