Lead AI Software Engineer

Commerce is an AI-driven commerce ecosystem company that helps businesses innovate, grow, and thrive. The Lead AI Software Engineer will shape and execute the company’s AI vision by leading the design and implementation of AI-based product solutions, driving strategic initiatives, and mentoring teams across the organization.

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
• 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

Requirements:

• Success will require exceptional written and verbal communication skills
• an ability to contribute to high level designs and translate into low level designs
• Significant experience architecting and shipping Agentic AI systems in production, not just prototypes or proofs of concept
• Strong server-side engineering in Python, Go, Java, or similar, with the judgment that comes from having maintained what you built
• Experience building product solutions with LLMs and GenAI technologies
• Demonstrated technical leadership across cross-functional teams (engineering, product, and other stakeholders), driving both vision and execution without relying on formal authority
• 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
• 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)
• Preferred minimum Bachelor's degree in CS, EE, SW, CE, MIS; or equivalent experience