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    GenAI Engineer - New York, United States - Open Systems Technologies

    Open Systems Technologies
    Open Systems Technologies New York, United States

    4 days ago

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    Description

    A financial firm is looking for a GenAI Engineer to join their team in New York, NY.

    Apply below after reading through all the details and supporting information regarding this job opportunity.

    Compensation: $200-300k

    Responsibilities:

    • Design and develop AI prompt techniques
    • Experiment with hyperparameter tuning for large language models in different applications, including software and code generation
    • Prompt, finetune, and chat with LLMs and understand how to produce best output
    • Improve prompts based on performance testing and user feedback
    • Perform data analysis to evaluate model performance and identify areas for improvement
    • Develop and implement practical and measurable performance criteria for evaluating prompt and model performance
    • Work with engineering and product teams to integrate prompts into applications and collaborate to identify and solve technical challenges and implement innovative solutions
    • Keep up to date with the latest advancements in Generative AI, LLMs, and prompt engineering and bring new ideas to the team
    • Write clear and concise technical documentation for models, algorithms, software tools and proof of concept use cases

    Qualifications:

    • A Bachelor's degree in computer science, artificial intelligence, machine learning, or related field
    • 2+ years of experience in software engineering with a focus on working with large language models and prompt engineering
    • Strong knowledge of programming languages such as Java, Python, or C++
    • Experience with machine learning frameworks such as TensorFlow or PyTorch
    • Experience in Natural Language Processing (NLP), especially in language modeling
    • Experience with architecture and operation of large language models and generative models such as GPT, BERT, or T5
    • Strong analytical and problem-solving skills
    • Able to explain technical concepts to non-technical stakeholders
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