Lead Engineer - R01571338
Posted 21 SepFound 14 OctSeen 2 hours ago
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The Posting
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)
Facts
- Source
- Lever
- External id
- 97a1ad5f-480b-44aa-88fe-10f09641268c
- Location
- Bangalore, India
- Remote
- Hybrid, from the posting
- Posted
- 21 Sep 2026, 10:17
- First seen
- 14 Oct 2026, 19:21
- Last seen
- 2 Nov 2026, 03:50
- Status
- Not yet added
- Posting id
- 2e80ce63-5d92-5659-8497-1d298336cc86