Applied AI Engineer
Core
Design and operate agentic AI systems and scalable ML pipelines to enhance Apple Sales decision-making tools and automate business operations.
Role type
Senior Applied AI Engineer (LLMs & Agentic Workflows)
Builds
Production-ready AI SDKs, APIs, and scalable multi-modal agent pipelines for sales intelligence.
Domain
Sales operations, Decision Intelligence, Generative AI
Deliverable
production ML models
Required skills
LLM APIs, agentic workflows, Python (FastAPI, LangChain), vector databases, RESTful API design, pipeline orchestration, async programming, statistical modeling, rapid prototyping, context engineering, model monitoring, embedding algorithms
Preferred skills
Personalization/recommendation systems, anomaly detection, causal inference, distributed systems architecture, RabbitMQ/Redis/Valkey, Prometheus/OpenTelemetry/W&B
Technologies
LangChain, LlamaIndex, FastAPI, Python, Redis, RabbitMQ, Valkey, Prometheus, OpenTelemetry, Weights & Biases
Responsibilities
Design and develop agentic AI systems that reason, plan, and act across tools; Translate research into production-ready SDKs and APIs; Build scalable pipelines for multi-modal agent input, memory, and semantic routing; Lead technical decision-making on infrastructure components and safety mechanisms; Collaborate with business teams to embed context-aware intelligence in decision-making tools.
Seniority
Senior, hands-on IC