Description

Key Skills: Vertex AI (Google), LLM, Gen AI, Python, Gemini, GCP, API Development, Agentic AI, AI Artificial intelligence, Kubernetes, Docker

Roles and Responsibilities:

• Develop GenAI/LLM applications in Python, including prompt and response handling for production workflows.
• Build and integrate REST APIs (e.g., FastAPI/Flask) to expose LLM capabilities to downstream services.
• Deploy and manage AI services on GCP using Vertex AI and related Google Cloud services.
• Containerize and run services using Kubernetes, ensuring scalability, reliability, and operational readiness.
• Collaborate on end-to-end testing and performance validation for AI-powered APIs and model interactions.

Skills Required:

• 5.5 - 7 years of relevant experience in Python-based AI engineering and cloud deployment.
• Kubernetes for deploying and operating containerized AI services.
• Python for building GenAI/LLM application logic and integrations.
• GCP/Google Cloud and Vertex AI for model hosting, inference, and AI service integration.
• LLM/GenAI development with Gemini, plus API development using REST API patterns (FastAPI/Flask).

Good to Have:

• Docker for container build and runtime workflows.
• Agentic AI experience for multi-step or tool-using LLM systems.

Education: Any Graduation or Any Post Graduation

Key Skills

Education

Any Graduate