Principal AI Engineer

Stack

Responsibilities

• ▹Design and implement scalable agentic solutions for diverse use cases
• ▹Leverage a broad stack of open-source AI technologies to build and maintain a centralized AI platform with unified APIs for cross-functional access, and build various types of agents
• ▹Work with Product Engineers to integrate AI agents into customer-facing applications and internal tools
• ▹Lead technical discussions, mentor junior engineers and help set the technical vision for the AI platform roadmap
• ▹Ensure compliance with security, privacy and regulatory requirements across the software development lifecycle
• ▹Optimize performance of AI-powered workloads across compute and storage layers using cloud-native and open-source solutions
• ▹Conduct performance analysis and capacity planning to ensure platform scalability

Requirements

• ▹Bachelor's or Master's degree in Computer Science, Engineering or a related field
• ▹8+ years of software engineering experience, including 2+ years working on AI/ML platforms or infrastructure
• ▹Experience building large-scale distributed systems and microservices
• ▹Strong programming skills in Python
• ▹Hands-on experience with agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen or similar
• ▹Experience with containerization and orchestration (e.g. Docker, Kubernetes)
• ▹Understanding of MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI or Databricks
• ▹Cloud platform experience (AWS, GCP or Azure)

Soft skills