BigCommerce is seeking a Senior Software Engineer (AI Specialization) to help us build powerful product experiences using intelligent AI agents. You’ll be at the forefront of defining how users interact with our products through natural language, by designing agent-based systems that unify and act on data from various Commerce products (BigCommerce, Makeswift, B2B and B2C) and partner systems.

BigCommerce, part of the Commerce brand family, helps merchants increase sales at every stage of their growth. From small startups to mid-market businesses and large enterprises, we provide the leading e-commerce platform. Our customers can then concentrate on what's most important: growing their businesses. We enable our customers to build, innovate, and grow, collectively reshaping the e-commerce industry.

At Makeswift we're on a mission to build the best tool for creative minds to bring their ideas to the world. The concept is simple: combine the experience of a buttery-smooth, elegant design tool with the infrastructure required to go to production.

Instead of mocking up static images and prototypes, build production-ready websites out of live components. Growing team? Version control and real-time collaboration. Working with React engineers? Reuse their work by integrating existing components directly into Makeswift. Our vision is to open up our APIs and foster a component ecosystem that will bridge the gap between developers and designers.

What You’ll Do

• Design, build, and iterate on AI agents that interact with data across BigCommerce and partner ecosystems to drive automation

• Connect agents to MCP (Model Context Protocol) servers that interact with various backend systems (APIs, Databases, etc) to surface their capabilities to the AI agents to drive powerful and intuitive user experiences

• Build AI agents that can assist with store management actions, by interpreting user intent and calling necessary api’s.

• Develop and integrate AI assistant features directly into the BigCommerce control panel to support natural language queries and actions.

• Collaborate with product designers and NLP experts to deliver intuitive, useful, and delightful conversational experiences

• Quickly build proof-of-concept solutions to validate relevant user stories

• Contribute to internal tooling and frameworks that support LLM fine-tuning, prompt engineering, and safe action execution
  

Who Are You

• 5+ years of experience in backend or full-stack software development, ideally with a focus on AI/MCP/A2A systems

• BS or higher degree in Computer Science or related technical field

• Strong and proven programming skills in Go

• Experience working with LLMs (OpenAI, Anthropic, etc.) and building agentic AI applications

• Understanding of prompt engineering concepts

• Deep understanding of RESTful APIs and data integration across systems

• Excellent problem-solving skills and ability to work in a fast-paced, exploratory environment

• Strong collaboration and communication skills in cross-functional teams.

• Strong preference toward execution and delivery

Preferred:

• Experience with e-commerce platforms or SaaS product development

• Background in conversational AI or natural language processing

• Familiarity with prompt engineering and chaining tools (LangChain, Semantic Kernel, etc.)

• Experience building in or for mobile environments (iOS/Android) is a plus

• Previous work with rules-based systems, automation tools, or AI copilots

Work Where You Thrive

For candidates based in the Austin or Atlanta metro area, the position follows a hybrid work model with three days per week in the office, balancing focused individual work with meaningful in-person collaboration.

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(Pay Transparency Range:$116,000.00 - $195,000.00)

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.