Sr Software AI Engineer 3 - Context Engineering
Core
Building high-performance software foundation and infrastructure for enterprise Agentic AI workflows, specifically the Context Layer for real-time data orchestration and multi-cloud compute optimization.
Role type
Senior IC platform software engineer (AI infrastructure)
Builds
High-scale AI-ready Data Lakehouse, platform-level interfaces for agentic workflows, and SDKs for autonomous agents
Domain
Enterprise AI infrastructure, distributed systems, cloud-native architecture
Deliverable
production ML models | infrastructure
Required skills
distributed systems, Java, Scala, Python, API/library development, GitOps, Terraform, AWS, Azure, OpenTelemetry
Preferred skills
LangGraph, CrewAI, Model Context Protocol (MCP), Agentic RAG, Human-in-the-Loop (HITL) triggers
Technologies
Java, Scala, Python, ArgoCD, Flux, GitHub Actions, Terraform, AWS, Azure, OpenTelemetry
Responsibilities
Develop high-scale AI-ready Data Lakehouse optimized for AI Agent operations; Prototype emerging architectural patterns like Multi-Agent Orchestration; Build platform-level interfaces for agentic workflows; Implement emerging standards like Model Context Protocol (MCP) and Agentic RAG; Maintain CI/CD pipelines with automated testing and security scanning; Design and configure cloud services (IAM, EC2/VMs, S3/Blob storage) for AI workloads
Seniority
Senior, hands-on IC
