Remote Backend AI Engineer II: NLP & Automation

BigCommerce, Inc.

Austin (TX)

Hybrid

USD 95,000 - 160,000

Full time

14 days+

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Job summary

BigCommerce is hiring a Backend Software Engineer II (AI Specialization) to design and implement AI agents across commerce data sources. You’ll work on MCP-connected backends, enabling natural language interactions and automated store-management actions within our control panel.

Join a team that collaborates with NLP experts to deliver useful conversational experiences, while rapidly prototyping proofs of concept and contributing to AI tooling and frameworks.

Qualifications

  • 3+ years of backend or full-stack software development, focused on AI/MCP/A2A systems.
  • BS or higher degree in Computer Science or a related technical field.
  • Strong programming skills in Go.
  • Experience with LLMs and building agentic AI applications.
  • Understanding of prompt engineering concepts.
  • Understanding of RESTful APIs and data integration across systems.

Responsibilities

  • Design, build, and iterate on AI agents that interact with data across BigCommerce and partner ecosystems.
  • Connect agents to MCP servers to surface capabilities for AI-driven experiences.
  • Develop AI assistant features in the BigCommerce control panel for natural language queries.
  • Collaborate with designers and NLP experts to deliver intuitive experiences.
  • Prototype solutions quickly to validate user stories; contribute to internal tooling.

Skills

Go
LLMs
REST APIs
Prompt engineering
NLP
Data integration

Education

BS or higher in Computer Science or related field

Tools

LangChain
Semantic Kernel

Job description

BigCommerce is hiring a Backend Software Engineer II (AI Specialization) to design and implement AI agents across commerce data sources. You’ll work on MCP-connected backends, enabling natural language interactions and automated store-management actions within our control panel.

Join a team that collaborates with NLP experts to deliver useful conversational experiences, while rapidly prototyping proofs of concept and contributing to AI tooling and frameworks.

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