Principal AI Agent / ML Software Engineer

Job Description

Lead the architecture and engineering of production-grade agentic AI platforms and autonomous workflows on Oracle Cloud Infrastructure. Define technical strategies for scalable inference, tool calling, and AI observability while mentoring senior engineering staff.

Requirements: Requires 6-10+ years of professional software engineering experience with a proven track record in high-scale distributed systems and AI/ML platforms. Must have practical experience with orchestration frameworks like LangGraph or LlamaIndex and strong proficiency in Python and Kubernetes.

Key Skills: AI Agent Orchestration, Distributed Systems, LLM Application Patterns, Python, Kubernetes, Docker, RAG, Model Serving, AgentOps, LLMOps, GPU Optimization, Vector Databases, Prompt Design, Cloud-native Infrastructure, Multi-agent Coordination, System Architecture

Benefits: Medical insurance, Dental insurance, Vision insurance, Short term disability, Long term disability, Life insurance, AD&D, Supplemental life insurance, Health care and dependent care, Flexible Spending Accounts, Pre-tax commuter and parking benefits, 401(k) Savings and Investment Plan with company match, Flexible Vacation, Accrued Vacation, Paid holidays, Paid sick leave, Paid parental leave, Adoption assistance, Employee Stock Purchase Plan, Financial planning and group legal, Voluntary benefits