Description

Key Skills: Python, SQL, LLMs, Generative AI, LangGraph, LangChain, Agentic AI, RAG, Vector Databases, REST APIs

Good to Have Skills: Neo4j, Knowledge Graphs, GraphRAG architectures, AI observability, evaluation frameworks, LLM testing methodologies, cloud-based AI platforms, enterprise AI ecosystems, compliance, risk management, financial services domains, AI copilots, assistants, workflow automation solutions, multi-agent systems, Semantic Kernel, Model Context Protocol integrations, prompt engineering, tool calling, workflow automation, memory management, multi-step reasoning, embeddings, semantic search, knowledge retrieval techniques, JSON, enterprise system integrations.

Roles & Responsibilities:

• Develop AI-powered applications leveraging LLMs, Generative AI, Agentic AI, and advanced analytics for enterprise solutions.
• Build and enhance AI agents that interact with enterprise tools, data sources, APIs, and business workflows.
• Develop orchestration workflows using frameworks such as LangGraph, Semantic Kernel, LangChain, or similar technologies.
• Implement MCP (Model Context Protocol) integrations to securely connect AI applications with enterprise systems, knowledge sources, and services.
• 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 across the organization.
• Integrate enterprise LLM platforms and GenAI services into business workflows and operational processes for improved efficiency.
• Perform data exploration, experimentation, testing, and performance optimization across structured and unstructured datasets for insights.
• Create dashboards, reporting solutions, and user-facing applications that translate AI outputs into actionable business insights.
• Collaborate with Compliance, Technology, and Business stakeholders to understand requirements and deliver high-quality AI solutions.
• Contribute to reusable frameworks, engineering standards, testing practices, and AI governance requirements for organizational compliance.

Experience Required: 5+ years of experience developing software, automation, analytics, or AI solutions. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related quantitative discipline required

Key Skills

Education

Any Graduate