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Lead Engineer - R01571345

📅 Sep 21
Python 3.xData StructuresAlgorithmsObject-oriented Programming
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📜 Description

  • Develop applications using Python 3.x and object-oriented programming.
  • Design and implement RESTful APIs.
  • Integrate OpenAI APIs, including Chat Completions, Assistants, and Embeddings.
  • Build and optimize prompts, function calling, and tool integrations.
  • Apply RAG patterns and manage tokens, rate limits, and costs.

🛠️ Requirements

  • Strong proficiency in Python 3.x, data structures, algorithms, and OOP concepts.
  • Write clean, modular, reusable code with exception handling and logging.
  • Experience with virtual environments such as venv, Poetry, or Pipenv.
  • Knowledge of file handling for CSV, JSON, and XML.
  • Familiarity with OpenAI APIs, prompt optimization, function calling, and RAG patterns.
  • Understanding of token management, rate limits, cost optimization, and fine-tuning concepts.
Full job description
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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