Description

You will design and build agentic AI workflows that integrate LLM capabilities with tool calling and orchestration patterns.

This role is on-site.

Responsibilities

• Develop Python-based agentic AI solutions with robust integration and production-grade services.
• Build scalable data pipelines and prepare training, evaluation, and inference datasets using PySpark.
• Deploy and manage AI models on Vertex AI, handling endpoints, batch/online inference, and experiment tracking.
• Design evaluation and monitoring strategies to ensure agent reliability and quality in production.
• Collaborate with engineering teams to integrate AI services into existing systems securely and performantly.

Required Skills

• 5+ years of experience in AI/ML engineering and data/ML platforms.
• Strong proficiency in Python for agentic AI development and integrations.
• Experience with PySpark for large-scale data processing and pipeline development.
• Hands-on experience with Vertex AI for deployment, inference, and model management.
• Understanding of scalable AI/ML pipeline engineering with strong testing and performance awareness.

Preferred Skills

• Experience with AWS Cloud and/or Azure.
• General GCP exposure beyond Vertex AI.

Key Skills

Education

Any Graduate