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)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)
