AI Solutions Lead
Hybrid at SFO
Must have MCP and Agentic Commerce experience
REQUIRED QUALIFICATIONS • 10+ years of software engineering experience, with at least 3 years architecting LLM-based or agentic AI systems in production. • Deep hands-on expertise with LangChain, LangGraph, RAG, MCP, prompt engineering, context engineering, and token optimization. • Strong programming skills in Python and TypeScript (Java a plus); proven ability to design and implement microservices with FastAPI, Spring Boot, or Node.js. • Production experience with cloud platforms (AWS, Azure, or Google Cloud Platform), Kubernetes, Docker, Terraform, and CI/CD pipelines. • Solid grounding in MLOps — model training/fine-tuning, evaluation pipelines, drift detection, and observability for AI systems. • Track record of solution architecture for enterprise clients — translating business problems into reference architectures and shipping production outcomes. • Bachelor''s degree in Computer Science, Engineering, or a related field.
Experience designing AI solutions for retail and e-commerce — personalization engines, conversational shopping assistants, product-catalog and price-intelligence agents, demand forecasting, and store- operations automation. • Familiarity with retail data ecosystems (POS, OMS, PIM, loyalty, omnichannel inventory, customer-360) and grounding LLM agents on transactional and behavioral signals. • Awareness of retail trust and compliance concerns — PCI-DSS, GDPR / regional consumer-data laws, and brand-safety guardrails for customer-facing agents. • Experience in BFSI, payments, or other regulated industries (KYC/AML, audit & compliance, fraud and risk). • Familiarity with API gateways (Apigee, Kong), developer portals, and exposure to Claude Code, Cursor, or similar agentic coding environments.
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