Lead, Software Engineering​

About the role

Demonstrated interest with LLMs, Prompt engineering, Langchain Experience implementation of large-scale structured or unstructured databases, orchestration and container technologies such as Docker or Kubernetes This position requires regional travel away from your home office/primary working location.

What you'll do

• Design, develop, and maintain cloud-based AI applications, leveraging a full-stack technology stack to deliver high-quality, scalable, and secure solutions
• Collaborate with cross-functional teams, including product managers, data scientists, and other engineers
• Utilize Kubernetes and containerization technologies to deploy, manage, and scale analytics applications in cloud environments
• Develop and maintain APIs and microservices to expose analytics functionality to internal and external consumers
• Implement robust security measures to protect sensitive data and ensure compliance with data privacy regulations and organizational policies

What you need

• 6–11 yrs of experience
• Kubernetes
• Data structures
• Microservices
• Python
• Git
• CI/CD
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• AWS
• GCP
• Azure
• Terraform
• Data privacy
• Angular