How To Use Them Well
Commerce
AIOpsSeniorBackendEngineer
“AI Ops Senior Backend Engineer at How To Use Them Well. Skills: AI Ops, Backend Engineering, System Architecture, AI-driven Product Development, Cloud-Native Development. Design, build, and scale systems that power AI-driven operations. Shape the next generation of AI-native products and automation frameworks”
What You'll Achieve.
drive efficiency and business growth; drive measurable business impact
Industry & Context.
solve complex commerce challenges; solve problems; accelerate outcomes; expand what’s possible; design systems and experiences that are scalable, maintainable, and valuable
What They're Looking For.
Must Have
5+ years of professional experience as a backend engineer, architect systems end-to-end, from data flow to deployment, Demonstrated experience building AI-driven products incorporating agent orchestration, MCP servers, RAG patterns, structured outputs, evals, and the operational realities of running AI in production (latency, cost, prompt drift, hallucination mitigation), Proficient in cloud environments like AWS, GCP, or Vercel, design systems with security in the forefront, understand AI failure modes, incorporate guardrails and evals from the start
Nice to Have
Actively experiments with emerging AI tools and techniques, balance rapid prototyping with long-term architecture planning, Thrives in fast-moving environments, comfortable testing new ideas quickly while maintaining high standards for quality and reliability
What You'll Do.
and scale systems that power AI-driven operations
Shape the next generation of AI-native products and automation frameworks
Transform ideas into intelligent
Own the product lifecycle end-to-end — from stakeholder discovery and solution design through build
and ongoing monitoring
Implement novel AI technologies
Rapidly prototype applications
Ensure seamless integration with our data infrastructure
high-performance services that connect data systems
and business applications
Collaborate with stakeholders to translate strategic goals into technical requirements
and production-ready solutions
and maintain AI applications that enable automation
and extend AI capabilities
Experiment with AI integrations and automation concepts
Implement engineering best practices for performance optimization
Partner with a broader team of data engineers and analysts
How You'll Work.
Team & Collaboration
Partner closely with the Data Solutions team; Work alongside analysts, engineers, and operations leaders; Partner with a broader team of data engineers and analysts to ensure shared ownership of systems, clear priorities, and technical support; Collaborate with stakeholders; Collaborate across technical and business functions
Process & Methodology
Own the product lifecycle end-to-end
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