Senior AI Agent Engineer - Go, LLMs & Automations

Cacheflow; Austin (TX); Hybrid; USD 116,000 - 195,000; Full time

Job summary

Commerce is seeking a backend/AI engineer to design, build, and iterate on AI agents that interact with data across BigCommerce and partner ecosystems to automate workflows. You will connect agents to MCP servers to surface capabilities and drive compelling user experiences inside the control panel.

Collaborating with NLP experts, you will deliver agentic AI features, build proofs of concept, and contribute to internal tooling for LLM tuning and safe action execution in a hybrid model based in

Qualifications

• 5+ years of backend or full‑stack software development with AI focus.
• BS or higher in Computer Science or related field.
• Proficiency in Go programming.
• Experience with LLMs and building agentic applications.
• Understanding of prompt engineering and RESTful APIs.

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 powerful user experiences.
• Build agents that interpret user intent and call necessary APIs for store actions.
• Integrate AI assistant features into the BigCommerce control panel for natural language queries.
• Collaborate with product designers and NLP experts on conversational UX.
• Create proof-of-concept solutions to validate key user stories.
• Contribute to tooling for LLM fine-tuning, prompt engineering, and safe action execution.

Skills

Go

LLMs

REST APIs

MCP/A2A

Backend/Full-stack

Prompt engineering

AI integration

Communication

Education

BS in CS

Tools

LangChain

Semantic Kernel

Job description

Commerce is seeking a backend/AI engineer to design, build, and iterate on AI agents that interact with data across BigCommerce and partner ecosystems to automate workflows. You will connect agents to MCP servers to surface capabilities and drive compelling user experiences inside the control panel.

Collaborating with NLP experts, you will deliver agentic AI features, build proofs of concept, and contribute to internal tooling for LLM tuning and safe action execution in a hybrid model based in