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What you’ll be doing
Develop software productivity tools and services using Generative AI, LLM models, RAG-based workflows, and other technologies.
Research and evaluate new methods and technologies in the field of AI.
Collaborate with other engineers and stakeholders to find creative solutions to solve business challenges.
Provide technical leadership and guidance on best practices for implementing and optimizing LLMs and RAG-based solutions.
Communicate and document the results and insights of the AI projects to key stakeholders.
What we need to see
BS or MS in Computer Science, Artificial Intelligence, or equivalent experience.
Expertise in one or more of these areas: Machine Learning, Natural Language Processing, Automatic Speech Recognition or Synthesis, Data Analytics, Computer Vision or other AI domains.
Deep understanding of language models, particularly LLMs, and a strong proficiency in designing and implementing RAG-based workflows.
Strong programmingskills. Extensiveexperience in Python required.
Experience with source control tools such as Git/Perforce.
Strong problem solving, performance analysis, and experience using debugging tools.
Deep knowledge of computer hardware, particularly graphics hardware/GPUs.
Strong algorithms and mathematical fundamentals.
Ability to work independently and in a team environment.
Good communication and presentation skills.
Ways to stand out from the crowd
Experience in developing and deploying AI solutions using Python, TensorFlow, Keras or other frameworks.
Experience in developing software using popular AI models (e.g., LLM models).
In-depth software development or data science experience.
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