Commerce is seeking an AI Lead Engineer to shape and execute its AI vision, driving strategic initiatives and delivering results through cutting-edge AI technologies to empower businesses to innovate, grow, and thrive.
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
- 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 modern AI infrastructure (e.g., vector databases, model orchestration tools, inference frameworks, cloud-native ML workflows) is preferred
- Familiarity with Angular, React and other similar Frontend frameworks
Responsibilities
- Serve as lead engineer for major initiatives, working across teams to develop and implement low level designs
- 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.
- Assess technology options to establish fit for purpose and make selections to optimize ROI for the business
- Collaboratively contribute to and/or author high level designs and partner with key leaders to ensure strategic alignment
- Interface with team members across one or more domains, executives and stakeholders across the business to provide context, direction setting and technical guidance
- Facilitate quick-turnaround solutions to address urgent business needs, striking the right balance between delivery speed, scalability, and reliability
Other
- Highly accountable, and impact-driven
- Exceptional written and verbal communication skills
- A strong bias for action
- A focus on measurable outcomes
- Hands-on leadership experience with cross-functional teams – engineering, product, design, data science, driving both vision and execution
