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Brillio

Lead Engineer - R01571345

Posted 8 Days Ago
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In-Office
Mumbai, Maharashtra, IND
Entry level
In-Office
Mumbai, Maharashtra, IND
Entry level
Develop clean, modular Python applications and RESTful APIs using strong software engineering fundamentals. Integrate OpenAI capabilities including Chat Completions, Assistants, embeddings, function calling, prompt optimization, RAG, token management, rate-limit handling, cost optimization, and potential fine-tuning. Work with virtual environments, structured file formats, exception handling, and logging.
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Lead Engineer

Job requirements

  • Strong proficiency in Python 3.x, Data structures, algorithms, and OOP concepts, Writing clean, modular, and reusable code, Exception handling and logging, Virtual environments (venv, poetry, pipenv), RESTful API design and implementation, File handling (CSV, JSON, XML) OpenAI APIs (Chat Completions, Assistants, Embeddings), Prompt engineering & prompt optimization, Function calling & tool integration, RAG (Retrieval-Augmented Generation) patterns, Token management, rate limits, cost optimization, Fine-tuning concepts (where applicable)
  • Strong proficiency in Python 3.x, Data structures, algorithms, and OOP concepts, Writing clean, modular, and reusable code, Exception handling and logging, Virtual environments (venv, poetry, pipenv), RESTful API design and implementation, File handling (CSV, JSON, XML) OpenAI APIs (Chat Completions, Assistants, Embeddings), Prompt engineering & prompt optimization, Function calling & tool integration, RAG (Retrieval-Augmented Generation) patterns, Token management, rate limits, cost optimization, Fine-tuning concepts (where applicable)
  • Strong proficiency in Python 3.x, Data structures, algorithms, and OOP concepts, Writing clean, modular, and reusable code, Exception handling and logging, Virtual environments (venv, poetry, pipenv), RESTful API design and implementation, File handling (CSV, JSON, XML) OpenAI APIs (Chat Completions, Assistants, Embeddings), Prompt engineering & prompt optimization, Function calling & tool integration, RAG (Retrieval-Augmented Generation) patterns, Token management, rate limits, cost optimization, Fine-tuning concepts (where applicable)

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