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Engineering Manager - Customer Experience AI

Engineering Manager • Remote • Full-time United States USA

Lead the AI-powered Automated Resolution platform team within Coinbase's CXAI engineering group, guiding development of LLM-based agents and key third-party integrations.

Responsibilities

  • Drive the roadmap for the conversational AI platform, advancing from decision trees to LLM reasoning, RAG, and agentic workflows
  • Lead integration of third-party AI solutions while scaling in-house LLM infrastructure
  • Build evaluation frameworks and feedback loops to improve model accuracy and compliance
  • Enable secure agent actions for workflows such as transaction troubleshooting and account recovery
  • Define technical architecture across vector databases, prompt design, and context management
  • Own operational excellence across reliability, latency, token cost, and fallback paths to human agents

Requirements

  • 8+ years of software engineering experience, including 2+ years leading teams
  • Experience shipping products powered by large language models, with prompt engineering and fine-tuning knowledge
  • Experience building RAG pipelines and managing the data lifecycle
  • Strong systems and platform background in high-traffic production environments
  • Experience designing quantitative AI evaluation frameworks (hallucination rates, accuracy)
  • Deep understanding of AI safety and guardrails (PII leakage, unsafe financial outputs)
  • Familiarity with vector databases (Pinecone, Weaviate, Milvus) and orchestration frameworks (LangChain, LlamaIndex)
  • Proficiency in Golang and cloud-native infrastructure (AWS, Kubernetes)

Soft skills

Team leadership and mentoringCross-functional alignmentRisk-aware decision making

What we offer

  • Annual base salary: ₹9,424,500 INR (excluding equity and bonus)
  • Equity and bonus eligibility
  • Medical, dental, and vision benefits

About the company

Coinbase's CXAI engineering team sits within the Consumer Engagement and Experience (CEE) organization, reimagining crypto support through generative AI. Remote-first with quarterly in-person "surge" sessions.

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