BigCommerce is part of the Commerce brand family, empowering businesses to innovate and thrive in the e-commerce sector. They are seeking a Backend Software Engineer II specializing in AI to design and build intelligent AI agents that enhance user interactions across their products.
Responsibilities:
- 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
Requirements:
- 3+ years of experience in backend or full-stack software development, ideally with a focus on AI/MCP/A2A systems
- Strong coding experience in server-side language (Golang)
- Education: Minimum Bachelor's degree in CS, EE, SW, CE, MIS
- Experience working with LLMs (OpenAI, Anthropic, etc.) and building agentic AI applications
- Understanding of prompt engineering concepts
- 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
- 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.)
- Previous work with rules-based systems, automation tools, or AI copilots