Description

You architect, design, and implement multi-agent AI systems using LLMs, memory, and tools for autonomous reasoning and action.

This role is on-site.

Responsibilities

• Build agent-based solutions leveraging function calling, dynamic tool integration, and orchestration frameworks.
• Develop voice-first AI agents using ASR, conversation orchestration, and TTS.
• Design and maintain Retrieval-Augmented Generation (RAG) pipelines with vector databases.
• Contribute to anomaly detection and fraud modeling through ML training and pipeline optimization.
• Build, deploy, and monitor scalable AI services on Azure components.

Required Skills

• 10+ years of total engineering experience.
• 2+ years building and shipping LLM-powered or autonomous agent systems in production.
• Proficiency in Python and Machine Learning principles.
• Experience with LLMs, PyTorch, and LangChain.
• Familiarity with Azure cloud services.
• Proven work in Fraud Detection and Anomaly Detection.

Key Skills

Education

Any Graduate