Job Description
•5+ years of total experience
Strong programming skills in Python, and familiarity with libraries like Transformers,Pandas, scikit-learn, Seaborn,LangChain, LlamaIndex, PyTorch, or TensorFlow.
• Experience building applications with OpenAI, Anthropic Claude, Google Gemini, or opensource LLMs.
• Working knowledge of retrieval-augmented generation (RAG) pipelines and vector databases.
• Understanding of MLOps, model evaluation, prompt tuning, and deployment pipelines.
• Build and tune LLM-based applications using platforms like Vertex, GPT, Lamma, Hugging Face, etc.
• Create robust prompt engineering strategies and reusable prompt templates.
• Integrate generative AI with enterprise applications using APIs, knowledge graphs, vector
databases (e.g., PG Vector, Neo4j, Mongodb), and orchestration tools.
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Strong programming skills in Python, and familiarity with libraries like Transformers,Pandas, scikit-learn, Seaborn,LangChain, LlamaIndex, PyTorch, or TensorFlow.
• Experience building applications with OpenAI, Anthropic Claude, Google Gemini, or opensource LLMs.
• Working knowledge of retrieval-augmented generation (RAG) pipelines and vector databases.
• Understanding of MLOps, model evaluation, prompt tuning, and deployment pipelines.
• Build and tune LLM-based applications using platforms like Vertex, GPT, Lamma, Hugging Face, etc.
• Create robust prompt engineering strategies and reusable prompt templates.
• Integrate generative AI with enterprise applications using APIs, knowledge graphs, vector
databases (e.g., PG Vector, Neo4j, Mongodb), and orchestration tools.
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