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 seek an AI Engineer to help build and evolve AI capabilities that support a wide range of business use cases across the organization. You will be a contributing member of a focused AI services team, working alongside experienced engineers and Product partners to deliver reliable, scalable AI solutions.
In this role, you will contribute to AI initiatives from design through production delivery, implementing well-scoped AI features and components with limited direction. This role offers hands-on exposure to complex problem spaces, real ownership of individual deliverables, and the opportunity to grow your technical skills and influence over time.
Build, test, and integrate AI solutions such as LLM-based systems, RAG pipelines, agents, and orchestration layers
Implement systems to extract structured information from descriptions, classify content against taxonomies, and generate content aligned with organizational ontologies
Contribute to a shared AI platform with a focus on reuse, maintainability, and internal developer experience
Translate well-defined requirements into working, production-quality AI components with minimal direction
Optimize AI systems for performance, cost, and reliability
Stay current with AI/ML trends and participate in evaluations of new tools and technologies
Collaborate with Product Managers and Engineering partners to understand requirements and contribute to technical planning
Communicate progress, blockers, and technical decisions clearly and in a timely manner
Balance speed and quality, and seek guidance when navigating complex tradeoffs
4+ years of professional software engineering experience
Proficiency in Go or another modern backend language such as Python, PHP, Java,
1+ year of experience building or working with AI/ML systems, including in production or production-adjacent environments
Familiarity with modern GenAI ecosystems (OpenAI, Anthropic, Hugging Face, Braintrust, PortKey, LangChain)
Exposure to NLP tasks via LLMs (text classification, named entity recognition, extraction, summarization)
Basic working knowledge of cloud platforms (AWS, GCP, or Azure)
Experience with SQL and working with structured data
Experience with RabbitMQ, Grafana or Prometheus
Nice to Have:
Familiarity with vector databases, inference engines, or data persistence layers
Familiarity with structured output handling (JSON mode, schema validation, output parsing)
Proficiency with current frontend frameworks such as React
What Success Looks Like
AI components are delivered with quality and meet defined requirements
Code is well-structured, tested, and easy for teammates to build on
Blockers and risks are surfaced early and communicated clearly
You are actively growing your understanding of the AI/ML domain and the team's systems
You contribute positively to team velocity and culture
Work Where You Thrive
For candidates based in the Austin Metro area, this role follows a hybrid work model, with three days per week in the office to balance focused individual work and meaningful in-person collaboration.
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(Pay Transparency Range Base: $95,000.00-$168,000.00 USD)
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/
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.
