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Commerce

Senior Backend Engineer, AI Agent

Commerce

Senior Backend Engineer specializing in AI agents at BigCommerce, designing and building agentic AI applications in Go/Python for B2B commerce lifecycle.

Posted 7/10/2026full-timeAustin • Texas • 🇺🇸 United StatesSenior💰 $116,000 - $195,000 per yearWebsite

Tech Stack

Tools & technologies
GoGraphQLGRPCPHPPythonRuby

About the role

Key responsibilities & impact
  • Design, build, and iterate on AI agents in Go/Python using an orchestrator/sub-agent architecture, covering intent interpretation, delegation, and safe action execution
  • Own eval-driven development: build and maintain golden datasets, scorers, and regression suites (Braintrust or similar) for critical quality metrics such as discovery recall and quote accuracy
  • Develop and refine prompts, model configurations; treat prompts and model settings as versioned, tested artifacts
  • Integrate agents with MCP servers and backend tools, defining safe tool-call contracts, approval flows for write actions, and guardrails against prompt injection and abuse
  • Instrument agents with tracing, metrics, and cost tracking; use production signals to drive quality improvements
  • Collaborate with product designers and frontend engineers to deliver intuitive, useful conversational experiences
  • Quickly build proof-of-concept agents to validate user stories, then harden them to GA quality
  • Drive architecture decisions on ambiguous problems and mentor other engineers in agent engineering practices

Requirements

What you’ll need
  • 5+ years of experience in backend or full-stack software development
  • Education: Preferred minimum Bachelor's degree in CS, EE, SW, CE, MIS; or equivalent experience
  • Strong and proven development skills in any major language (Go/Python/Ruby/PHP)
  • Experience working with LLMs (Gemini, Anthropic, OpenAI, etc.) in production systems
  • Experience with LLM evaluation: building datasets, defining scorers/metrics, and using eval results to drive iteration
  • Strong understanding of prompt engineering, tool/function calling, and agent orchestration patterns
  • Deep experience designing and building APIs (gRPC, GraphQL, REST) and integrating data across systems
  • Hands-on experience building MCP servers or LLM tool integrations
  • 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

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Flexible work arrangements
  • Professional development opportunities

ATS Keywords

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Hard Skills & Tools
GoPythonLLM EvaluationAPI DesignGRPCGraphQLRESTData IntegrationAgent OrchestrationVersion Control
Soft Skills
Problem-SolvingCollaborationCommunicationExecutionDelivery
Certifications
Bachelor's Degree in CSEESWCEMIS