Lead GenAI Engineer

About the role

This is a hands-on leadership role-you will be making the big architectural calls, mentoring a talented team, and personally building the most complex parts of our GenAI platform. Because our infrastructure is heavily cloud-native, deep and proven, experience with Amazon Bedrock and SageMaker is a hard requirement.

What you'll do

• Architect and lead the development of end-to-end GenAI systems, covering everything from data ingestion to deployment and observability
• Build and scale solutions using Amazon Bedrock and SageMaker JumpStart, while integrating complementary services like OpenSearch Serverless
• Drive technical direction for complex RAG architectures (GraphRAG, agentic RAG) and multi-agent orchestration
• Lead and mentor a team of AI engineers and data scientists, growing their technical depth through design and code reviews
• Own the "FinOps" of our GenAI workloads-managing token economics, caching strategies, and provisioned throughput to keep costs in check

What you need

• 5–9 yrs of experience
• LLMs
• Machine learning
• AWS
• Python
• Prompt engineering
• Terraform
• Any graduate

Good to have

• FastAPI
• Data privacy
• IAM
• Elasticsearch