Tech Stack

Description

You will design and build agentic AI systems, deploy them at scale on cloud platforms, and train/fine-tune models. You'll own the full lifecycle of AI products that reach real users in enterprise and public sector settings.

Requirements

• Production mindset with shipped AI systems to real users
• Strong fundamentals in agentic AI and reliability
• Hands-on with at least one major cloud platform (AWS, Azure, GCP)
• Solid Python engineering skills in Git-based collaborative codebase
• Experience with Docker and Kubernetes in real deployment contexts

Responsibilities

• Build agentic AI systems with LangChain, LangGraph, and RAG
• Deploy AI on AWS/Azure/GCP with Docker and Kubernetes
• Build CI/CD pipelines using Argo Workflows and Argo CD
• Expose AI capabilities through performant APIs
• Train and fine-tune custom models with TensorFlow and PyTorch