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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

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