Staff Applied AI Engineer
Core
Designing and building enterprise-scale AI systems for live merchant data on the Point of Sale platform, focusing on inventory, menu, and ordering modernization.
Role type
Staff Applied AI Engineer (Technical Lead)
Builds
AI systems for inventory management, menu optimization, and ordering workflows for merchants.
Domain
Fintech / Payments / Point of Sale
Deliverable
production ML models | product features
Required skills
Technical architecture design, LLM system ownership (writing to system of record), RAG implementation, multimodal data ingestion, behavioral contract definition, evaluation-driven development, AI systems operations, agentic coding fluency, cross-team influence.
Preferred skills
Multi-agent orchestration, structured RAG over records, document AI (image/PDF extraction), Spring Boot, LangChain/LlamaIndex, POS/retail domain knowledge.
Technologies
Python, JVM languages (Java, Kotlin, Scala), MySQL, MongoDB, vector databases, Kubernetes, REST APIs, microservices, Gemini, Vertex AI, Claude, GPT, Llama.
Responsibilities
Define AI architecture for inventory/menu/ordering; build retrieval and decision layers; engineer multimodal ingestion; establish evaluation frameworks; operate and monitor AI systems; mentor engineers; define shared multi-agent patterns.
Seniority
Staff, hands-on technical leader with mentorship responsibilities.
