Key skills
AI technologiesPythonCloud platformsData pipelinesFront-end frameworksMLOps practicesData storage solutionsTechnical leadershipCollaborationCommunication skillsJavaScriptTypeScriptGolangScalaSQLNoSQLAIMLGenAILLMMLOpsReactAngularAWSAzureGCPLeadership
About this role
Commerce is a company focused on empowering businesses through an AI-driven commerce ecosystem. They are seeking an AI Lead Engineer to shape and execute their AI vision, collaborating with Product and Engineering leaders to drive strategic initiatives and deliver AI-based product solutions.
Responsibilities:
- Interface with team members across multiple 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 a 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:
- 5+ years of coding experience in one or more server-side languages (Python, GoLang, Scala, etc)
- Education: Minimum Bachelor's degree in CS, EE, SW, CE, MIS. Master Preferred
- Strong understanding in one or more front-end frameworks / languages (React, TypeScript, JavaScript, etc)
- Experience building consumer-facing, agentic product solutions with LLMs and GenAI technologies
- Familiarity with modern AI infrastructure (e.g., vector databases, model orchestration tools, inference frameworks, cloud-native ML workflows) is required
- Hands-on technical leadership experience with cross-functional teams – engineering, product, design, data science, driving both vision and execution
- Expertise with 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)
- Familiarity with Angular, React and other similar Frontend frameworks
- 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 a 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
- Applicants must reside in the United States to be considered a candidate
- Experience working with product data pipelines and familiarity with e-commerce taxonomies, schemas, is highly preferred