AI Engineer

StarbridgeNew York, NY
63d

About The Position

In this role, you will collaborate closely with our team as we productize new AI-powered capabilities, such as AI proposal writing and search experiences. You will evaluate the performance of AI models, including those from OpenAI, Anthropic, and Gemini, through rigorous testing and experimentation. Staying up-to-date with the latest advancements in AI and machine learning research is crucial, as you will proactively suggest improvements to enhance our generative AI capabilities. Additionally, you will implement strong testing and CI/CD practices that help us move with confidence in our AI system development.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience
  • High level of coding proficiency using Python
  • 5+ years of professional experience in software engineering, AI/ML development
  • Proficiency with production software (Python) and systems design
  • Machine learning algorithms and model development techniques
  • ML lifecycle tools like MLflow, dvc, weights & biases
  • Cloud deployment of ML systems
  • Professional experience with LLMs and large-scale models
  • Very strong software engineering skills with a track record of building scalable, distributed product machine learning systems
  • Strong analytical and problem-solving skills
  • Ability to communicate complex ideas and concepts effectively
  • Ability to work independently and collaboratively

Nice To Haves

  • Experience building scalable applications with LLMs, using frameworks such as LangChain, LlamaIndex, Hugging Face, etc.
  • Depth of knowledge with RAG implementation and improvements

Responsibilities

  • Collaborate closely with our team as we productize new AI-powered capabilities: such as AI proposal writing & search experiences.
  • Evaluate the performance of AI models (we will work with models from OpenAI, Anthropic, Gemini) & systems through rigorous testing and experimentation.
  • Stay up-to-date with the latest advancements in AI and machine learning research, and proactively suggest improvements to enhance our generative AI capabilities.
  • Implement strong testing and CI/CD practices that help us move with confidence in our AI system development.
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