Description

You will design, build, and deploy LLM-powered applications, chatbots, and multi-agent systems to optimize finance processes.

Responsibilities

• Implement and customize Generative AI and multi-agent systems using LangChain and LangGraph.
• Create and maintain prompt templates, chains, and workflows.
• Integrate vector databases for semantic search and memory management.
• Develop backend services and APIs to support AI models in production.
• Monitor model performance and retrain models to ensure sustained accuracy and compliance.

Required Skills

• Strong proficiency in Python.
• Hands-on experience with Agentic AI and Generative AI systems.
• Deep understanding of LLM-based architectures and prompt engineering.
• Experience building AI pipelines and workflows.
• Knowledge of vector databases and semantic search.
• Ability to collaborate with senior engineers to optimize inference costs.
• 5+ years of professional experience.

Preferred Skills

• Bachelor's or Master's degree in Computer Science, AI/ML, or Data Science.
• Experience in the finance domain with compliance and explainability requirements.

Key Skills

Education

Any Graduate