Description

You will build and deploy AI solutions centered on Large Language Models and agentic workflows.

This role is on-site.

Responsibilities

• Develop LLM-based applications using prompt engineering techniques.
• Implement Retrieval Augmented Generation (RAG) systems.
• Containerize and orchestrate services using Docker and Kubernetes.
• Build interfaces for AI models using Streamlit.

Required Skills

• 10+ years of professional experience in AI engineering.
• Expert proficiency in Python.
• Deep experience with Large Language Models (LLMs).
• Hands-on knowledge of Agent Frameworks.
• Experience implementing RAG patterns.
• Proficiency with Google Cloud Platform (GCP).
• Experience deploying applications using Docker and Kubernetes.
• Skill in Prompt Engineering.
• Familiarity with Streamlit integration.

Key Skills

Education

Any Gradute