Empowering businesses to innovate, grow, and thrive with an open, AI-driven commerce ecosystem, and solving complex commerce challenges
Requirements
- 5+ years of coding experience in one or more server-side languages (Python, GoLang, Java, etc)
- 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
- Expertise in cloud platforms (AWS, GCP, or Azure), API architecture, and modern MLOps practices
- Solid experience with data storage solutions, both on the backend (SQL and NoSQL) and on the frontend (e.g. local storage)
Responsibilities
- Interface with team members across one or more domains, executives and stakeholders across the business to provide context, direction setting and technical guidance
- Collaboratively contribute to and/or author high level designs and partner with key leaders to ensure strategic alignment
- Serve as lead engineer for major initiatives, working across teams to develop and implement low level designs
- 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
Other
- Minimum Bachelor's degree in CS, EE, SW, CE, MIS. Master Preferred
- Hands-on leadership experience with cross-functional teams – engineering, product, design, data science, driving both vision and execution
- Exceptional written and verbal communication skills
- Ability to contribute to high level designs and translate into low level designs
- Strong bias for action, a focus on measurable outcomes, and a commitment to continuously improving the capabilities of the organization through mentorship, coaching and evangelization
