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Austin, Texas, United States
Remote only
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.
As a Commerce brand, Feedonomics is a leading product feed management platform that helps brands, retailers, and agencies list and optimize products across top ecommerce channels worldwide. Feedonomics manages everything from onboarding to ongoing feed optimization, enabling our clients to scale faster with less effort. Feedonomics has earned a strong reputation for a full-service model and powerful technology—all rooted in a commitment to excellence.
We are seeking a highly accountable, hands-on AI Lead Engineer to define and lead the architectural direction of our AI services, establishing the standards and patterns that guide implementation. As a key member of the AI technical staff, you will shape the architecture, design standards, and implementation approach for production-grade AI systems that power critical business capabilities.
You will partner closely with Product and Engineering leadership to translate business objectives into scalable, well-architected AI solutions. This role combines deep hands-on development with architectural leadership: setting technical patterns, guiding major initiatives from design through delivery, and ensuring our AI services are reliable, performant, and cost-aware in production.
What You'll Do:
Define and evolve the architectural direction for AI services and initiatives
Lead high-level and low-level design for major AI programs
Establish architectural patterns and technical guidelines that other engineers follow
Build and evolve scalable, API-driven AI services in Go
Develop LLM-based solutions, including classification, extraction, structured generation, and RAG workflows
Drive rapid experimentation and prototyping (often in Python), ensuring clear paths to production-ready implementations
Define and enforce standards for evaluation, cost-awareness, and operational reliability across AI systems
Mentor Senior AI Engineers through design reviews and technical guidance
Collaborate with Staff Engineers when broader architectural alignment is required
How You’ll Work
Work directly with Product Managers and stakeholders to clarify goals and define measurable success criteria
Balance hands-on engineering with architectural oversight
Ensure architectural consistency and adherence to established design standards
Raise the technical bar through thoughtful reviews and shared engineering standards
Who You Are:
7+ years of professional software engineering experience
Strong proficiency in Go (GoLang) and experience building production-grade, API-driven services
Proficiency in Python for experimentation, prototyping, and scripting
3+ years of experience building and deploying AI/ML systems in production environments
Strong experience with modern LLM ecosystems (e.g., OpenAI, Anthropic, Hugging Face)
Deep understanding of LLM-based solution patterns, including Retrieval-Augmented Generation (RAG), structured outputs, schema-driven generation, and agents/orchestration workflows
Familiarity with MCP (Model Context Protocol) servers and orchestration approaches
Experience evaluating LLM performance in production contexts, including prompt design, quality measurement, and model comparison
Experience designing and operating scalable API services at scale
Strong experience with cloud infrastructure (AWS, GCP, or Azure)
Experience with vector databases and inference systems
Strong SQL skills and familiarity with modern data storage technologies
Nice to Have
Experience working with large taxonomies or structured classification systems
Experience in e-commerce, product catalogs, or sales channel data models
Familiarity with frontend frameworks (React, Angular)
What Success Looks Like
AI initiatives ship with strong architectural integrity and measurable business impact
AI services are scalable, reliable, and cost-aware in production
Clear architectural direction is reflected in design decisions and implementation standards
Senior Engineers grow in capability through mentorship and architectural guidance
Cross-functional collaboration results in well-aligned, well-executed AI solutions
#LI-LH1
#LI-REMOTE
(Pay Transparency Range: $163,040 - $244,560)
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.
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/
To protect our candidates and company from fraudulent activity, our interview process includes a government ID and biometric verification via Persona, our trusted identity verification provider. All information is collected and processed securely in accordance with applicable privacy laws.
Commerce, along with many other employers, has become the subject of fraudulent job offers to hopeful prospective job seekers.
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