Principal Engineer, Agentic AI
Core
Architecting and delivering production-grade Generative AI applications, agentic workflows, and scalable ML systems for enterprise clients.
Role type
Principal Engineer, Agentic AI (Senior IC)
Builds
Production GenAI platforms, agent orchestration systems, RAG pipelines, and reusable AI SDKs/frameworks.
Domain
Generative AI, Agentic AI, Machine Learning, Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Python, Machine Learning, Deep Learning, System Design, Microservices, MLOps, Cloud Platforms (GCP/Databricks), Security & Governance, Technical Strategy
Preferred skills
Agentic frameworks (LangGraph, CrewAI, AutoGen), LLM integration patterns, AI-driven UX design, Prompt engineering
Technologies
LangGraph, CrewAI, AutoGen, MLflow, Vertex AI, Kubeflow, BigQuery, Databricks, Copilot, Claude Code
Responsibilities
Design end-to-end AI/ML architectures for LLM inference and agent orchestration; Lead technical discovery and solutioning for high-impact GenAI initiatives; Establish engineering standards for prompt design, model integration, and observability; Drive platformisation by building reusable components and SDKs; Translate ambiguous business problems into durable technical architectures; Review critical designs and codebases to unblock teams and raise engineering standards.
Seniority
Principal, strategy & mentorship
