Senior Backend Engineer (AI Agent)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Backend Engineer (AI Agent): Designing and building conversational AI agents for the B2B commerce lifecycle with an accent on orchestration, sub-agent architecture, and tool integration. Focus on eval-driven development, ensuring agent reliability through rigorous testing, and scaling AI-driven commerce solutions.
Location: Must be based in or able to commute to the Austin, TX or Atlanta, GA metro areas for a hybrid work model (3 days/week in-office).
Salary: $116,000 - $195,000
Company
A leading commerce ecosystem provider empowering businesses to grow through open, AI-driven platforms including BigCommerce and .
What you will do
- Design and iterate on AI agents using orchestrator/sub-agent architecture for intent interpretation and safe action execution.
- Own eval-driven development by building golden datasets, scorers, and regression suites to ensure agent quality.
- Develop and version control prompts and model configurations as tested artifacts.
- Integrate agents with MCP servers and backend tools while implementing guardrails against prompt injection.
- Instrument agents with tracing and metrics to drive production-level quality improvements.
- Collaborate with cross-functional teams to deliver intuitive conversational experiences.
Requirements
- 5+ years of experience in backend or full-stack development with hands-on LLM application building.
- Proven development skills in Go, Python, Ruby, or PHP.
- Experience with LLM evaluation, building datasets, and defining metrics to drive iteration.
- Strong understanding of prompt engineering, tool/function calling, and agent orchestration patterns.
- Deep experience designing and building APIs (gRPC, GraphQL, REST).
- Must be able to work in a hybrid capacity in Austin, TX or Atlanta, GA.
Nice to have
- Experience with agent frameworks like Google ADK, LangChain, or LangGraph.
- Experience with evaluation platforms such as Braintrust or LangSmith.
- Background in e-commerce platforms or SaaS product development.
- Experience with RAG systems and retrieval quality tuning.
Culture & Benefits
- Commitment to equitable and transparent pay practices.
- Inclusive and accessible work environment that celebrates diverse perspectives.
- Opportunities to work on cutting-edge AI commerce technology.
- Collaborative team environment with a focus on bold building and technical innovation.
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