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AI (LLM) Fullstack Engineer
CloudDevs 7 months ago
Apply Now7 months ago
asia onlybert (bidirectional encoder representations from transformers)canada onlychatbotschatgptemea onlyeurope onlyfull-stack programmingfull-timelarge language models (llms)latin america onlyoceania onlyuk only
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CloudDevs is helping world-class, venture-backed 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 Rails /python/ go/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