Job description

• Experience: 14+ Years • Design and develop enterprise AI solutions using LangChain, LangGraph, Agentic AI, and Retrieval-Augmented Generation (RAG) frameworks. • Build scalable RAG pipelines that integrate large language models with structured and unstructured enterprise data sources. • Develop intelligent AI agents capable of reasoning, planning, tool execution, workflow orchestration, and multi-agent collaboration. • Architect and integrate AI services with existing .NET applications, REST APIs, databases, cloud platforms, and enterprise systems . • Provide technical leadership to development teams, including architecture guidance, code reviews, design standards, and AI development best practices. • Evaluate and optimize large language models, vector databases, embeddings, prompt engineering strategies, response accuracy, performance, security, and cost.

Requirements

Must-haves

Experience: 14+ Years
Design and develop enterprise AI solutions using LangChain, LangGraph, Agentic AI, and Retrieval-Augmented Generation (RAG) frameworks.
Build scalable RAG pipelines that integrate large language models with structured and unstructured enterprise data sources.
Develop intelligent AI agents capable of reasoning, planning, tool execution, workflow orchestration, and multi-agent collaboration.
Architect and integrate AI services with existing .NET applications, REST APIs, databases, cloud platforms, and enterprise systems .
Provide technical leadership to development teams, including architecture guidance, code reviews, design standards, and AI development best practices.
Evaluate and optimize large language models, vector databases, embeddings, prompt engineering strategies, response accuracy, performance, security, and cost.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

airest

Platform: careers-browser
Effort: medium