Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Benefits
- Where applicable, this role may also be eligible for variable compensation (such as bonus or commission), equity, and benefits in accordance with local policies. Details will be shared during the hiring process.
- For candidates based in the Austin or Atlanta metro area, the position follows a hybrid work model with three days per week in the office, balancing focused individual work with meaningful in-person collaboration.
Company Overview
Company H1B Sponsorship