Job Details

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Overview

Were seeking a highly accountable, and impact-driven AI Staff Engineer to play a pivotal role in shaping and executing our AI vision. As a key Engineering leader, youll collaborate closely with senior Product and Engineering leaders to drive strategic initiatives and deliver results through cutting-edge AI technologies.

What Youll Do

• Interface with customers, external partners, executives and stakeholders across the business to provide context, direction setting and priorities.
• Architect and build frameworks / scaffolding that provide foundational infrastructure and reusable components to power innovative AI-driven solutions.
• Collaboratively author high level designs and partner with key leaders to drive development and implementation of low level designs across teams.
• Facilitate quick-turnaround solutions to address urgent business needs, striking the right balance between delivery speed, scalability, and reliability.
• Collaborate with Product & Engineering leadership to help shape the AI strategy.
• Assess technology options to establish fit for purpose and make selections to optimize ROI for the business.
• Build scalable solutions and systems that are secure, cost-effective and performant at very large scale.
• Deep understanding of and experience with RAG pipelines, MCP, AI agents, multimodal LLMs, prompt orchestration, LLM telemetry and inspection, etc.
• Upskill the organization by evangelizing technologies and identifying opportunities for experimentation and education.

Who Are You

• 10+ years of coding experience in one or more server-side languages (Python, GoLang, Java, etc)
• Education: Minimum Bachelor's degree in CS, EE, SW, CE, MIS. Master Preferred
• Proven experience architecting and building AI/ML systems, especially in production environments dealing with structured and unstructured data
• Experience building product solutions with LLMs and GenAI technologies
• Experience working with product data pipelines and familiarity with e-commerce taxonomies, schemas, is highly preferred
• Familiarity with modern AI infrastructure (e.g., vector databases, model orchestration tools, inference frameworks, cloud-native ML workflows) is preferred
• Hands-on leadership experience with cross-functional teams engineering, product, design, data science, driving both vision and execution.
• Expertise in cloud platforms (AWS, GCP, or Azure), API architecture, and modern MLOps practices.
• Solid experience with SQL, in-memory storage and similar data storage solutions
• Familiarity with Angular, React and other similar Frontend frameworks

Pay Transparency Range: $154,000.00 - $312,000.00
The exact salary will be dependent on the successful candidates location, relevant knowledge, skills, and qualifications.

Inclusion and Belonging

At Commerce, we believe that celebrating the unique histories, perspectives and abilities of every employee makes a difference for our company, our customers and our community. We are an equal opportunity employer and the inclusive atmosphere we build together will make room for every person to contribute, grow and thrive.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions and to receive other benefits and privileges of employment. If you need an accommodation in order to interview at Commerce, please let us know during any of your interactions with our recruiting team.

Learn more about the Commerce team, culture and benefits at

Hiring Security

Protect Yourself Against Hiring Scams: Our Corporate Disclaimer

Commerce, along with many other employers, has become the subject of fraudulent job offers to hopeful prospective job seekers.

Be Advised

Commerce does not offer jobs to individuals who do not go through our formal hiring process.

• will not require payment of recruitment fees from candidates;
• will not request personally identifiable information through unsanctioned websites or applications;
• will not solicit money from you as part of the hiring process or as part of an employment offer;
• will not solicit money to complete visa requirements as part of a job offer.

If you receive unsolicited offers of employment from Commerce, we urge you to be extremely cautious and avoid engaging or responding.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Software Development

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