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Commerce

AI Lead Software Engineer - Remote

Sorry, this job was removed at 05:30 p.m. (CST) on Friday, May 29, 2026
Remote
Hiring Remotely in United States
Remote
Hiring Remotely in United States

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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. We believe in harnessing AI responsibly to unlock new possibilities, and we’re looking for individuals who use it intentionally to solve problems, accelerate outcomes, and expand what’s possible in their role. Our purpose is to 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 who 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-REMOTE

(Pay Transparency Range: $165,000.00 - $290,000.00)

Compensation Transparency


The national base salary range for this role is posted above in this job post.

Final compensation will be determined based on factors such as relevant experience, skills, qualifications and geographic location. We also consider internal equity to help ensure fair and consistent pay practices across our teams.

Where applicable, this role may also be eligible for variable compensation (such as bonus or commission), equity, and benefits in accordance with local policies. Details will be shared during the hiring process. We are committed to equitable and transparent pay practices that align to market data, internal equity, and individual contribution.

Inclusion and Belonging

At Commerce, we believe that celebrating the unique histories, perspectives and abilities of every employee makes a difference for our company, our customers and our community. We are an equal opportunity employer and the inclusive atmosphere we build together will make room for every person to contribute, grow and thrive.

We are committed to creating an inclusive and accessible hiring experience for all candidates. If you require accommodations or adjustments at any stage of the recruitment process, please let us know and we will work with you to meet your needs.

Learn more about the Commerce team, culture and benefits at https://www.commerce.com/careers/

Protect Yourself Against Hiring Scams: Our Corporate Disclaimer 

Commerce, along with many other employers, has become the subject of fraudulent job offers to hopeful prospective job seekers.
Be advised:
Commerce does not offer jobs to individuals who do not go through our formal hiring process.
Commerce will never:

  • require payment of recruitment fees from candidates;

  • request personally identifiable information through unsanctioned websites or applications;

  • attempt to solicit money from you as part of the hiring process or as part of an employment offer;

  • solicit money to complete visa requirements as part of a job offer.

If you receive unsolicited offers of employment from Commerce, we urge you to be extremely cautious and avoid engaging or responding.

HQ

Commerce Austin, Texas, USA Office

Commerce Austin Office

11920 Alterra Parkway D11 / Suite 100, 8th Floor , Austin, TX, United States, 78758

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

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