Senior Backend Engineer (AI Agent)

Bigcommerce
Austin, TX, United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$116,000.0 - $195,000.0
Working hours
Regular working hours
Job source

Tech stack

PHP (Programming Language) Artificial Intelligence Software as a Service Data Integration Python (Programming Language) Natural Language Processing Ruby Large Language Models Multi-Agent Systems Prompt Engineering Backend Graphql
+2 more
Front End Software Development Virtual Agents

Job description

  • 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, Final compensation will be determined based on factors such as relevant experience, skills, qualifications and geographic location. We also consider internal equity to help ensure fair and consistent pay practices across our teams.

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. We are committed to equitable and transparent pay practices that align to market data, internal equity, and individual contribution.

Inclusion and Belonging

At Commerce, we believe that celebrating the unique histories, perspectives and abilities of every employee makes a difference for our company, our customers and our community. We are an equal opportunity employer and the inclusive atmosphere we build together will make room for every person to contribute, grow and thrive.

We are committed to creating an inclusive and accessible hiring experience for all candidates. If you require accommodations or adjustments at any stage of the recruitment process, please let us know and we will work with you to meet your needs.

Learn more about the Commerce team, culture and benefits at https://www.commerce.com/careers/

Protect Yourself Against Hiring Scams: Our Corporate Disclaimer

Commerce, along with many other employers, has become the subject of fraudulent job offers to hopeful prospective job seekers.

Be advised: Commerce does not offer jobs to individuals who do not go through our formal hiring process.

Commerce will never:

  • require payment of recruitment fees from candidates;
  • request personally identifiable information through unsanctioned websites or applications;
  • attempt to solicit money from you as part of the hiring process or as part of an employment offer;
  • solicit money to complete visa requirements as part of a job offer.

If you receive unsolicited offers of employment from Commerce, we urge you to be extremely cautious and avoid engaging or responding.

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

Preferred:

  • 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 developmentBackground in conversational AI or natural language processing

About the company

At Commerce, our mission is to empower businesses to innovate, grow, and thrive with our open, AI-driven commerce ecosystem. As the parent company of BigCommerce , Feedonomics , and Makeswift , we connect the tools and systems that power growth, enabling businesses to unlock the full potential of their data, deliver seamless and personalized experiences across every channel, and adapt swiftly to an ever-changing market. We believe in harnessing AI responsibly to unlock new possibilities, and we’re looking for individuals who use it intentionally to solve problems, accelerate outcomes, and expand what’s possible in their role. Our purpose is to help businesses confidently solve complex commerce challenges so they can build smarter, adapt faster, and grow on their own terms. If you want to be part of a team of bold builders, sharp thinkers, and technical trailblazers who shape the future of commerce, this is the place for you.

BigCommerce is building a new team to deliver a suite of conversational AI agents spanning the B2B commerce lifecycle - Product Discovery, Pricing & Quoting, Order Automation, Fulfillment & Delivery, and Post-Sale Support. The agents are built in Go on Google ADK with Gemini, with evaluation infrastructure in Braintrust and a streaming AG-UI frontend.

As a Senior Backend Engineer specializing in AI agents, you will design the agents themselves: orchestration, sub-agent architecture, tool integration, prompt engineering, and - critically - the evaluation discipline that determines whether these agents are trustworthy enough to ship. Agent quality in this domain is won on evals, not just code, and you will own that practice for the team.

BigCommerce, part of the Commerce brand family, helps merchants increase sales at every stage of their growth. From small startups to mid-market businesses and large enterprises, we provide the leading e-commerce platform. Our customers can then concentrate on what’s most important: growing their businesses. We enable our customers to build, innovate, and grow, collectively reshaping the e-commerce industry.

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Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:07 min

Architecting cooperating local agents for an ecommerce application

Jim Clark Jim Clark +3 · World Congress 2025

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Why developer happiness matters in web frameworks

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

2:52 min

Generating APIs with the Neo4j GraphQL library

William Lyon · LIVE

1:24 min

Building client-facing AI agents for engineering teams

Alfonso Graziano Alfonso Graziano · Coffee With Developers

3:30 min

Falling in love with Ruby and creating Basecamp

David Heinemeier Hansson David Heinemeier Hansson +1 · Coffee With Developers

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