Lead Software Engineer - AI Solutions

Posted 3 Hours Ago
Be an Early Applicant
Austin, TX, USA
In-Office
187K-281K Annually
Senior level
Artificial Intelligence • Cloud • Consumer Web • eCommerce • Information Technology • Software
We Mean Business.
The Role
Lead and define AI architecture, ensuring scalable, reliable AI systems while mentoring engineers and collaborating with product teams.
Summary Generated by Built In
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.

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: $187,496 - $281,244)

    The exact salary will be dependent on the successful candidate’s location, relevant knowledge, skills, and qualifications.

    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 will ensure that individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions and to receive other benefits and privileges of employment. If you need an accommodation in order to interview at Commerce, please let us know during any of your interactions with our recruiting team.

    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.

    Top Skills

    AWS
    Azure
    GCP
    Go
    Python
    SQL

    What the Team is Saying

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    The Company
    HQ: Austin, TX
    1,200 Employees
    Year Founded: 2009

    What We Do

    Commerce (Nasdaq: CMRC) empowers businesses to innovate, grow, and thrive through an open, AI-driven commerce ecosystem. As the parent company of BigCommerce, Feedonomics, and Makeswift, we help brands unlock the full potential of their data, connect systems, and deliver seamless, personalized experiences across every channel. Visit commerce.com or follow us for more. #PoweredByCommerce

    Why Work With Us

    Ask any employee what makes Commerce unique, they will tell you it's the people. The team is full of brilliant, dedicated individuals focused on revolutionizing the world of ecommerce. We foster a culture that encourages inclusion of every employee, celebrating our individuality and the values that bring us together.

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    Commerce Offices

    Hybrid Workspace

    Employees engage in a combination of remote and on-site work.

    Typical time on-site: 3 days a week
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