Principal Engineer - Machine Learning

About the role

As a Principal Engineer - Machine Learning on our AI/ML Engineering team, you will drive the architecture and technical strategy for core backend services powering our Agentic AI Platform. You will lead the development of reasoning-driven agents, multi-agent orchestration, and outcome-based workflows that directly power autonomous AI capability across our suite of enterprise products.

What you'll do

• Drive Platform & Runtime Architecture: Lead the architectural design and execution of agent runtime orchestration services, focusing on reasoning, planning
• Define API & SDK Standards: Design and establish robust, developer-friendly APIs and SDKs that enable internal engineering teams and external ecosystem partners to…
• Architect Stateful & Memory Systems: Build and optimize stateful dialog management, shared context systems, and memory services for multi-turn
• Implement Multi-Agent Communication Protocols: Establish scalable agent-to-agent (A2A) communication protocols, coordination patterns
• Lead Cloud-Native Microservices Migration: Drive the transition toward cloud-native, event-driven backend services using modern microservices, service mesh

What you need

• 12–18 yrs of experience
• Machine learning
• Python
• AWS
• Airflow
• Kafka
• Microservices
• Any graduate

Good to have

• LLMs
• PostgreSQL
• Java
• Kubernetes
• Test automation
• Employee engagement