Staff AI Engineer
Core
Design, build, and deploy production-grade AI systems, including agentic architectures, retrieval systems, and enterprise integrations.
Role type
Staff AI Engineer (hands-on IC with technical leadership)
Builds
End-to-end AI/ML systems, agentic workflows, enterprise knowledge retrieval platforms, and reusable engineering standards
Domain
Enterprise software, Generative AI, Applied Machine Learning
Deliverable
production ML models | product features | infrastructure
Required skills
Python, full AI/ML lifecycle (data prep, model dev, training, deployment, monitoring), agentic system design, RAG/hybrid search, production data pipelines, API integration, observability, security engineering
Preferred skills
Agent orchestration tools (LangGraph, Semantic Kernel, AutoGen), vector databases, cloud AI platforms (Databricks, Snowflake, Bedrock, Azure AI), open-weight models
Technologies
Python, LangGraph, Semantic Kernel, AutoGen, CrewAI, vector databases, embeddings, hybrid search, Databricks, Snowflake, Amazon Bedrock, Microsoft Foundry/Azure AI
Responsibilities
Design and operate end-to-end AI/ML systems; Architect multi-agent systems with orchestration and tool use; Build enterprise knowledge and retrieval systems; Integrate AI solutions with enterprise applications; Establish automated testing, evaluation, and observability practices; Design secure and responsible AI systems; Create reusable architectures and provide cross-functional technical leadership; Evaluate emerging LLMs and frameworks
Seniority
Staff, hands-on IC with technical leadership
