Time zones: EST (UTC -5), CST (UTC -6), MST (UTC -7), PST (UTC -8), ART (UTC -3), UTC -4, UTC -4:30, UTC -3, UTC -2, SBT (UTC +11), GMT (UTC +0), CET (UTC +1), EET (UTC +2), MSK (UTC +3), AST (UTC -4), FKST (UTC -3), NST (UTC -3:30), CEST (UTC +2), BST (UTC +1), JST (UTC +9), CST (UTC +8), WIB (UTC +7), MMT (UTC +6:30), BST (UTC +6), NPT (UTC +5:45), IST (UTC +5:30), UZT (UTC +5), IRDT (UTC +4:30), GST (UTC +4), LINT (UTC +14), TOT (UTC +13), CHAST (UTC +12:45), LHST (UTC +10:30), AEST (UTC +10), ACST (UTC +9:30), ACWST (UTC +8:45), MART (UTC -9:30), NUT (UTC -11)
 

CloudDevs is helping world-class, venture-backed AI startups find talented AI full-stack developers. You will be employed by one of these startups and play an integral role in their early-stage growth.
 

Minimum qualifications:
 

• Proven track record of shipping software and successfully released apps (please include names and links on your resume)
•  5+ yrs of commercial experience using React or Vue or any JS framework on the front-end and major frameworks like  python/ go/Rails/elixir/java/flask/NodeJS on the backend. 
• Bachelor's degree in Computer Science or equivalent practical experience
• 7+ years of work experience as a software engineer or relevant experience
• Strong and confident communicator in English
• Strong problem solver
• Comfortable with collaboration and open communication across distributed teams

 work:
 

• Design, develop, and implement custom latest generative LLMs (e.g. models similar to GPT or ChatGPT or GPT4) and discriminative LLMs (e.g. models similar to BERT).
• create wrapper apps based on ChatGTP and other LLMs 
• Design, develop, and implement systems for AI alignment, Reinforcement Learning with Human Feedback (RLHF) instruction models, and AI guardrails.
• Conduct rigorous tests to evaluate LLMs across standardized performance benchmarks and custom evaluations.
• Employ cutting edge Natural Language Processing (NLP) and Machine Learning (ML) techniques to solve complex natural language problems.
• Translate technical findings into clear, actionable insights for a non-technical audience.

Here’s what you need:
 

• Experience with generative LLM fine-tuning and prompt engineering
• Experience with deep learning frameworks
• Experience with Hugging Face Transformers and other open source NLP/NLG modules