Senior Backend Engineer (AI Agent)

Commerce is empowering businesses to innovate and thrive with its AI-driven commerce ecosystem. As a Senior Backend Engineer specializing in AI agents, you will design and build AI agents, focusing on orchestration, architecture, and evaluation to ensure their quality and effectiveness.

Responsibilities:

• 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:

• 5+ years of experience in backend or full-stack software development, with hands-on experience building agentic AI/LLM applications
• 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
• Experience with agent frameworks (Google ADK, LangChain/LangGraph, Semantic Kernel, or similar)
• Experience with evaluation/observability platforms (Braintrust, LangSmith, or similar)
• Experience with RAG systems and retrieval quality tuning
• Experience with e-commerce platforms or SaaS product development
• Background in conversational AI or natural language processing