$70K - 120K a year
Develop, optimize, and troubleshoot LLM-based web applications using Python and machine learning libraries.
Bachelor's degree or equivalent, 1+ years software development experience, proficiency in Python and ML libraries, NLP knowledge, and ability to work full-time with US timezone overlap.
About Turing.com: Turing’s mission is to unleash the world’s untapped human potential. We use AI to source, evaluate, hire, onboard, and manage engineers remotely (including the HR and compliance aspects) in a bigger platform that we call the “Talent Cloud”. We recently achieved unicorn status with a valuation of $1.1B, after raising over $140M in financing over four rounds of funding. 1000+ companies including companies like Johnson & Johnson, Pepsi, Dell, Disney +, have hired Turing developers. About the role: We're seeking Python developers passionate about web development and proficient in LLMs to create highly scalable, customer-centric, and efficient web applications. Job responsibilities: - Collaborate on LLM training projects, utilizing SQL for data analysis and manipulation. - Optimize LLMs to improve efficiency and accuracy, contributing to the development of highly scalable and customer-centric applications. - Stay abreast of the latest advancements in LLM technology and integrate them into development processes. - Implement Python solutions that leverage LLMs for natural language understanding and generation. - Continuously fine-tune and optimize LLMs, troubleshooting and resolving any issues that arise. Job requirements: - Bachelor's/Master's degree in computer science or equivalent experience. - 1+ years of professional software development experience. - Proficiency in Python programming for developing and optimizing LLM-based solutions. - Hands-on experience with machine learning libraries such as TensorFlow, PyTorch, or Hugging Face Transformers. - Understanding of Natural Language Processing (NLP) concepts and ability to work with Large Language Models. - Analytical and problem-solving skills, particularly in troubleshooting and optimizing LLM implementations. - Effective communication skills in English to collaborate with engineering managers and team members. - Ability to work full-time (40 hours/week) with a 4-hour overlap with U.S. time zones.
This job posting was last updated on 9/4/2025