Software AI Engineer Mid-Level, Context Engineering

As an AI Platform Engineer (SDE 2), you will build and maintain core software components that power our AI and context infrastructure. You will work on the "Context Layer"—the plumbing that connects enterprise data to LLMs—ensuring that our AI agents have the right information at the right time.

Requirements

• Feature Development: Implement and maintain core services for the AI Data Lakehouse, focusing on efficient data retrieval and storage optimizations for AI workflows.
• Pipeline Automation: Build and support CI/CD pipelines to automate the deployment of AI models, prompt templates, and infrastructure updates.
• Agentic Support: Develop and test tool-execution environments and API interfaces that allow AI agents to interact with internal business systems safely.
• Operational Excellence: Participate in on-call rotations and troubleshooting to ensure platform reliability. Write unit tests, integration tests, and documentation for new features.
• Context Retrieval: Work on the "Context Fabric" to implement search and retrieval patterns (like RAG) that help agents access secure enterprise data.
• Cloud Management: Assist in managing cloud resources across AWS and Azure, ensuring environments are cost-effective and secure.

Benefits

• Health, dental and vision insurances
• Retirement savings plan
• Paid time off
• Health savings account
• Flexible spending accounts
• Life insurance
• Disability insurance
• Tuition reimbursement