Principal AI Engineer
Core
Building the next generation of ML/AI platform infrastructure and autonomous AI agent systems at enterprise scale, enabling development, testing, and production deployment of agents.
Role type
Principal AI Platform Engineer (Agent Systems)
Builds
Agent harness infrastructure, sandboxed execution environments, evaluation frameworks, CI/CD pipelines, and observability tooling for autonomous AI agents.
Domain
Artificial Intelligence / Autonomous Agents / Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Agent harness design, agentic loop patterns, tool orchestration, agent evaluation frameworks, sandboxing and safe execution, context engineering, Python engineering, AWS, CI/CD tooling, infrastructure-as-code, containerization, multi-agent systems
Preferred skills
Salesforce ecosystem (Agentforce, Data360), unstructured databases (vector/graph), RAG pipelines, modern data platforms, real-time processing frameworks
Technologies
Python, AWS, GitHub Actions, ArgoCD, Terraform, Docker, Kubernetes, Grafana, PagerDuty, Braintrust, LangSmith, Snowflake, Kafka, Flink
Responsibilities
Design and build agent harness infrastructure; implement agentic loop patterns with multi-turn reasoning and tool orchestration; build automated pipelines for agent evaluation and improvement; create sandboxed execution environments for agent tools; implement evaluation frameworks for agent behavior; build and optimize CI/CD pipelines for agent deployment; build internal tools for developer self-service; establish alerting and monitoring for agent-specific signals; ensure security compliance for agent workloads
Seniority
Principal, hands-on IC with strategic platform vision
