Lead AI Engineer

About the role

As a Lead AI Engineer, you will own the architecture and delivery of GenAI-based systems that integrate large language models (LLMs), multi-agent workflows, and embedding-powered retrieval solutions. You will guide cross-functional pods, define engineering standards, and drive innovation through scalable, production-grade intelligent applications.

What you'll do

• Architect enterprise-grade GenAI systems using modular LLM APIs, agent orchestration frameworks, and embedding pipelines
• Design and implement autonomous agent workflows with context management, multi-agent coordination, and task delegation
• Optimize performance, latency, and accuracy through experimentation with prompt strategies, retrieval layers, and caching logic
• Lead solution reviews, enforce prompt safety and governance, and ensure alignment with security protocols
• Collaborate with platform, product, and engineering leads to define reusable patterns and scalable AI capabilities

What you need

• 6–8 years in data science & ai
• Machine learning
• LLMs
• Python
• Azure
• FastAPI
• CI/CD
• Any graduate

Good to have

• Test automation
• Docker
• Git
• Datadog