AI Lead Software Engineer - Remote

BigCommerce
United States - Remote$165k – $290kPosted 7 April 2026

Job Description

Welcome to the Agentic Commerce Era At Commerce, our mission is to empower businesses to innovate, grow, and thrive with our open, AI-driven commerce ecosystem. As the parent company of BigCommerce , Feedonomics , and Makeswift , we connect the tools and systems that power growth, enabling businesses to unlock the full potential of their data, deliver seamless and personalized experiences across every channel, and adapt swiftly to an ever-changing market. Simply said, we help businesses confidently solve complex commerce challenges so they can build smarter, adapt faster, and grow on their own terms. If you want to be part of a team of bold builders, sharp thinkers, and technical trailblazers, working together to shape the future of commerce, this is the place for you. We’re seeking a highly accountable, and impact-driven AI Lead Engineer to play a pivotal role in shaping and executing our AI vision. As a key member of technical staff, you’ll collaborate closely with senior Product and Engineering leaders to drive strategic initiatives and deliver results through cutting-edge AI technologies. In this role, you’ll lead the design and implementation of multiple AI-based product solutions, enabling rapid experimentation and implementation for a variety of product use-cases across the business. Success will require exceptional written and verbal communication skills, an ability to contribute to high level designs and translate into low level designs, a 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. What You’ll Do 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 Who Are You 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 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 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** #LI-GC1 #LI-RE ... (truncated, view full listing at source)
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