Data Scientist/GenAI LLM Engineer

At Kubiya, we are pioneering the development of complex agent frameworks using large language models (LLMs) to streamline and enhance workflows for development teams across various industries. Our innovative approach is revolutionizing how teams interact with unstructured data and cloud systems, enabling them to extract maximum value and drive efficiency in their operations. As demand for our cutting-edge solutions grows, we are looking to expand our team with a skilled GenAI/LLM Engineer.

What You Will Be Doing:

• Utilize your deep expertise in LLM/GenAI technologies to develop and deploy advanced agent frameworks that transform complex operations into streamlined workflows.
• Work closely with development teams to understand their needs and implement solutions that significantly enhance their operational efficiency.
• Prototype, build, test, and deploy scalable products using GenAI/LLM technology, continuously optimizing performance to meet real-world demands.
• Engage in the entire lifecycle of AI/ML solutions, from managing CI/CD pipelines and containerization to deployment and maintenance in cloud or on-premises environments.
• Design prototypes and proofs of concept (POCs) to validate the feasibility and value of solutions before full-scale implementation.
• Lead innovative research projects to explore new applications of LLMs, pushing the boundaries of what these technologies can achieve in operational contexts.
• Provide technical leadership and architectural guidance to clients and internal teams, facilitating the adoption of LLM technologies.

Qualifications:

• Bachelor’s degree in Statistics, Applied Mathematics, Computer Science, or a related field; final-year students are encouraged to apply.
• A minimum of 3 years of experience with Python and 2 years with shell scripting.
• Solid experience in NLP and professional use of GenAI technologies such as OpenAI API, GPT-4, HuggingFace Transformers, among others.
• Strong background in vector databases, MLOps, CI/CD pipeline development, containerization, and deployment across various environments.
• Experience with major cloud platforms like AWS, GCP, or Microsoft Azure.
• Excellent communication skills in English, capable of explaining complex technical details and LLM capabilities to both technical and non-technical stakeholders.

Preferred but not required:

• Advanced degree (M.Sc. or Ph.D.) in a relevant field.
• Knowledge of programming languages such as Java, JavaScript, or Scala.
• Deep industry-specific expertise, particularly in technologies focusing on NLP/LLM applications.
• Familiarity with Responsible AI standards and protocols.
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• Proven track record in applied research or development of LLM technologies.