Senior AI Applications Engineer

About the role

We are looking for a full-stack engineer who has built production applications, and who has also helped build software that other engineers then built on top of — a shared library, an internal tool, a reusable component set or a software development kit — establishing engineering standards through automation rather than documentation.

What you'll do

• Build shared platform capabilities
• Reusable libraries used across AI applications: configuration, structured logging and tracing, error handling, resilience, messaging, data access, API scaffolding
• The shared execution layer for AI agents — the runtime that takes an agent's declared configuration
• The configuration-driven user interface capability, in which a business or data science user describes a dashboard in a structured data file and the platform renders it
• Build applications, where that is the fastest way to prove the platform

What you need

• SQL
• Python
• TypeScript
• AWS
• Angular
• CI/CD
• B.Sc or B.Tech or B.E. or BCA

Good to have

• Docker
• LLMs
• Terraform
• Vue.js
• Test automation
• Test cases