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The AI Engineer will design, implement, and deploy production-ready AI solutions that enable intelligent automation and strengthen business capabilities. The role focuses on building modular, scalable agentic applications using open-source and proprietary large language models, with hands-on implementation using LangChain. The AI Engineer II will develop reusable components, data pipelines, retrieval capabilities, and performance optimization strategies while partnering with business, product, data, and technology teams

Key Responsibilities:

Design, implement,



and deploy AI agents and generative AI solutions using Python, with hands-on use of LangChain and related orchestration frameworks

Build modular, scalable, and reusable agent components, including memory, planning, tool use, retrieval, and multi-modal capabilities

Develop retrieval-augmented generation (RAG) solutions using embeddings, vector databases, and enterprise data sources

Integrate open-source and proprietary large language models and evaluate the appropriate model for each business use case

Collaborate with Research, Managed Services, product, data, and technology teams to translate business needs into practical AI solutions

Prototype and evaluate agent behaviors, prompt strategies, learning approaches, and tool-calling workflows

Build and maintain scalable data pipelines and APIs that support AI development, evaluation, deployment, and monitoring

Benchmark solution performance, identi

📌 Senior Analyst (Hyderabad)
🏢 Dun & Bradstreet
📍 Hyderabad