Description

You will develop AI-powered applications and enterprise solutions using LLMs, Generative AI, and Agentic AI. You will build AI agents that interact with enterprise tools, data sources, APIs, and business workflows.

This role is on-site.

Responsibilities

• Develop orchestration workflows using LangGraph, Semantic Kernel, LangChain, or similar technologies.
• Implement MCP (Model Context Protocol) integrations to connect AI applications with enterprise systems and knowledge sources.
• Build and support Retrieval-Augmented Generation (RAG), GraphRAG, and Knowledge Graph solutions for enterprise use cases.
• Develop scalable Python-based applications, APIs, and services to support AI and analytics use cases.
• Create dashboards and user-facing applications that translate AI outputs into actionable business insights.

Required Skills

• 5+ years of experience developing software, automation, analytics, or AI solutions.
• Strong proficiency in Python and SQL.
• Hands-on experience with LLMs, Generative AI, and Agentic AI.
• Practical knowledge of LangGraph, LangChain, and RAG architectures.
• Experience with Vector Databases and REST APIs.
• Bachelor's or Master's degree in Computer Science, AI, Data Science, Engineering, or a related quantitative discipline.

Preferred Skills

• Experience with Neo4j, Knowledge Graphs, GraphRAG architectures, and AI observability.
• Familiarity with enterprise AI ecosystems, compliance, risk management, and financial services domains.
• Knowledge of prompt engineering, tool calling, memory management, and multi-agent systems.

Key Skills

Education

Any Graduate