Associate – Gen AI Engineer(Visualization CoE)

Build GenAI/ML end-to-end solutions using Python and modern LLM/GenAI frameworks by translating business objectives into clear technical requirements. Assist in building simple RAG-based applications by integrating LLMs with document retrieval tools to improve accuracy and grounding of AI responses. Help prepare and index datasets into vector stores (e.g., FAISS, Chroma) for use in RAG pipelines. Support development of basic agentic or task-oriented AI workflows, where LLMs interact with tools or APIs to automate routine tasks. Design and implement prototypes and POCs to validate feasibility and demonstrate solution value. Assist in training, fine-tuning, and evaluating NLP/LLM models for tasks such as classification, summarization, retrieval, and conversational use cases. Research and experiment with innovative GenAI/LLM techniques to help solve real-world business problems. Contribute to CI/CD pipeline development, containerize models, and support deployment to cloud or on-prem environments. Assist with monitoring, testing, and maintenance of deployed models. Support documentation of technical designs, approaches, POCs, and development artifacts. Participate in testing, user enablement, and production rollout activities to ensure smooth adoption and operational readiness. Collaborate with cross-functional teams and stakeholders to understand data needs, integration requirements, and implementation constraints. Contribute to internal knowledge creation, including SOPs, reusable components, and best practices for GenAI and ML engineering. Stay current on evolving AI/ML techniques, especially LLM capabilities, prompting methods, and GenAI engineering patterns.

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