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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI agent design and development using Go and Python, with a strong focus on prompt engineering, LLM integration, and API design. Proven ability to drive architecture decisions and mentor engineers while ensuring high-quality deliverables in fast-paced environments.

Highest-signal resume keywords

AI Agent DevelopmentPrompt EngineeringLLM IntegrationAPI DesignEval-Driven Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

GoPythonLLM EvaluationAPI DesignGRPCGraphQLRESTData IntegrationAgent OrchestrationVersion Control

Soft Skills

Problem-SolvingCollaborationCommunicationExecutionDelivery

Tools & Technologies

MCP ServersBraintrustMetrics TrackingTracing ToolsRegression Suites

Certifications & Qualifications

Bachelor's Degree in CSEESWCEMIS

Industry Keywords

AI AgentsIntent InterpretationSafe Action ExecutionQuality MetricsUser Stories

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