Description

You will build and maintain AI inferencing mechanisms, agentic frameworks, and model governance systems.

This role is on-site.

Responsibilities

• Implement inferencing mechanisms using transformers and pipeline architectures.
• Develop and integrate components within an LLM Agentic framework using LangGraph.
• Establish evaluation frameworks using Ragas and LangSmith.
• Build model monitoring capabilities for deployed AI systems.
• Deliver Gen AI projects adhering strictly to model governance guidelines.

Required Skills

• 5+ years of professional experience in AI/ML engineering.
• Strong programming proficiency in Python.
• Experience with Model Risk Management and Model Governance practices.
• Familiarity with vector databases, specifically Qdrant.
• Experience working with enterprise Redis databases.
• Familiarity with document handling using CockroachDB.
• Experience with embedding models like all-MiniLM-L6-v2 or all-mpnet-base-v2.
• Proficiency with LangSmith and Ragas for evaluation.

Key Skills

Education

Bachelor's degree