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Senior Backend Engineer – Shopping Agents
Fusion AI Labs. Own architecture, code, deployments, monitoring, and on-call for systems transacting around the clock .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and operating backend and infrastructure systems with a strong focus on Python, observability, and production system ownership. Capable of developing AI-first products and addressing adversarial systems in a dynamic e-commerce environment.
Highest-signal resume keywords
Python ProgrammingProduction System OwnershipInfrastructure MonitoringAI-First Product DevelopmentE-Commerce Background
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Backend DevelopmentInfrastructure SystemsDatabase ManagementObservabilityMachine LearningDeep LearningEmbedding-Based RetrievalLLM Query UnderstandingRerankingCaching
Soft Skills
Problem SolvingAdaptabilityAttention to Detail
Industry Keywords
E-CommercePaymentsFraud InfrastructureRisk Infrastructure
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Own architecture, code, deployments, monitoring, and on-call for systems transacting around the clock
- Build and operate checkout agents that drive live checkouts at scale
- Make checkout-agent failures rare and recovery automatic across changing retailer systems
- Scale product ingestion from hundreds of sources to thousands using self-generating, self-validating, and self-monitoring infrastructure
- Develop search and ranking systems using embedding-based retrieval, LLM query understanding, reranking, and caching
- Work directly with the CTO
Requirements
What you’ll need- 5+ years building backend and infrastructure systems, with strong Python
- Experience owning production systems end to end, including deploys, databases, observability, and on-call responsibilities
- Ability to address adversarial systems and failure modes
- Strong focus on correctness for systems handling real customer payments
- Ability to work without a finished specification in a small, changing environment
- Experience building AI-first products or LLM-based agents in production (nice to have)
- Working knowledge of classic ML and deep learning for retrieval and ranking (nice to have)
- Background in e-commerce, payments, or fraud and risk infrastructure (nice to have)