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Engineering Manager - Customer Experience AI
Engineering Manager
• Remote
• Vollzeit
•
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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