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Tier-1 brand and metro locations but senior, specialized generative-AI skillset reduces applicant density.
Role requires deep LLM and MLOps expertise, making fit highly domain-specific across industries.
Explicit 7–11 years plus mandatory specialized generative-AI, LLM, and MLOps skills.
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Contribute to Python application systems analysis and programming, focusing on generative AI technologies.
Develop, build, and tune LLM-based applications using platforms like Open AI, Google Gemini, Hugging Face, etc.
Integrate generative AI solutions with enterprise systems using APIs, knowledge graphs, vector databases, and orchestration tools.
7-11 years of relevant Python application development experience with strong exposure to Generative AI.
Strong programming skills in Python and familiarity with libraries such as Transformers, Pandas, scikit-learn, Seaborn, Lang Chain, LlamaIndex, PyTorch, or TensorFlow.
Experience building applications with Open AI, Anthropic Claude, Google Gemini, or open-source LLMs.
Bachelor’s degree or equivalent experience.
Experienced in managing and implementing successful projects involving generative AI and Python development.
Knowledgeable in retrieval-augmented generation (RAG) pipelines, ML Ops, model evaluation, prompt tuning, and deployment pipelines.
Capable of creating robust prompt engineering strategies and integrating AI solutions with enterprise data sources and orchestration tools.