Job Summary
Assist senior AI engineers in the development and deployment of generative AI models, including LLMs.
Conduct research and experiments on new generative AI techniques, including LLMs, tools, and agentic frameworks.
Implement, test, and deploy generative AI models and applications for various domains including but not limited to security, marketing, finance, and operational intelligence.
Document and report on research findings and experimental results related to LLMs, tools, and agentic frameworks.
Stay up-to-date on the latest advancements in generative AI, including LLMs, tools, and agentic frameworks.
Key Responsibilities
Basic understanding of generative AI models such as GANs, VAEs, and diffusion models, as well as LLMs, tools, and agentic frameworks.
Experience with Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch), including those specific to LLMs.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.
Ability to write and debug prompts for generative AI applications
Skill Requirements
Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field.
Solid theoretical understanding of linear algebra, statistics, and probability.
Familiarity with machine learning and deep learning concepts, including those relevant to LLMs.