openqareer

Senior Python Developer

Overture Rede · Удалённо · United States

# Senior Python Developer **Overture Rede** · United States · `Remote` · `Contractor` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Python-Developer]` `[Python-Engineer]` `[Backend-Engineer]` `[Senior-Python-Engineer]` `[Senior-Python-Software-Engineer]` `[Senior-Python-Backend-Developer]` `[Senior-Backend-Python-Developer]` `[Senior-Python-Developer-(South-America)]` --- ### About the Role This is a remote position. We are seeking a highly skilled and experienced Senior Python Developer with expertise in Flask, Redis, and MongoDB. The ideal candidate will have over 6 years of experience in software development and a strong background in machine learning (ML) search, vector databases, building Retrieval-Augmented Generation (RAG) models, and Large Language Model (LLM) based search. Responsibilities ● Backend Development: Design, develop, and maintain robust and scalable backend systems using Python and Flask. ● Database Management: Implement and manage databases using MongoDB and Redis to ensure high performance and reliability. ● Machine Learning Integration: Develop and integrate ML search functionalities, including vector databases and RAG models. ● LLM-Based Search: Implement and optimize search functionalities using large language models. ● Code Review and Quality Assurance: Conduct code reviews, provide technical solutions, and ensure the quality and maintainability of the codebase. ● Collaboration: Work closely with cross-functional teams, including data scientists, front-end developers, and product managers, to deliver high-quality software solutions. ● Documentation: Create and maintain comprehensive documentation for all developed systems and processes. Requirements: ● Experience: Minimum of 6 years of professional experience in Python development. ● Frameworks: Proficiency in Flask for backend development. ● Databases: Strong experience with MongoDB and Redis. ● Machine Learning: Proven experience in ML search, vector databases, and building RAG models. ● LLM-Based Search: Experience with implementing search functionalities using large language models. Originally posted on Himalayas

Наблюдалась 2026-10-13, впервые 2026-10-13, источник — Himalayas (JSON API).

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