Description

You build and deploy LLM-powered applications and multi-agent systems to enhance financial processes.

This role is on-site.

Responsibilities

• Design and deploy LLM-powered applications, chatbots, and multi-agent systems for finance process improvement.
• Implement and customize Generative AI and multi-agent systems using LangChain and LangGraph.
• Create and maintain prompt templates, chains, and workflows, integrating vector databases for semantic search.
• Develop backend services and APIs to support AI models in production, ensuring model accuracy and compliance.
• Monitor and retrain models continuously while collaborating on system efficiency and optimization.

Required Skills

• 5+ years of professional experience.
• Strong proficiency in Python.
• Hands-on experience with Agentic AI and Generative AI systems.
• Experience working with LLM-based architectures.
• Understanding of LangChain and LangGraph.
• Proficiency in prompt engineering and AI pipelines.
• Ability to develop backend services and APIs.

Key Skills

Education

Any Graduate