AILLM Engineer Kodily UK
AILLM Engineer Kodily UK
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Job Description
GT was founded in 2019 by a former Apple Nest and Google executive.GTs mission is to connect the worlds best talent with product careers offered by highgrowth companies in the UK USA Canada Germany and the Netherlands.
On behalf ofKodily GT is looking for an AI/LLM Engineer.
Project description:
Kodily is a British startup that developed an AIdriven app to streamline the medical and pharmaceutical documentation review process ensuring compliance with UK standards. Traditionally this review process involves a multiperson team (medical legal and code of practice experts) and is both costly and timeconsuming. After initial reviews materials are typically sent to a UKregistered medic for final signoff. Kodily aims to automate much of this with AI which currently reviews text and has plans to analyze images.
Project Stage: The Kodily team has created an MVP of the product that allows for checking documents against references relevant codes of practice and licensing requirements.
Team: 1 Jr Data Scientist 1 Python engineer 1 Senior fullstack Engineer business stakeholders.
About the Role:
Kodily is looking for a true LLM specialist with commercial experience of engineering an LLM backed app that has been successfully launched to solve business applications is needed to provide direction for these developments.
Responsibilities:
Develop and Testbased LLM applications that handle document review processes
Create and test LLM prompts
Create and test LLMbased logic chains
Create and test Eval logic
Essential knowledge skills & experience:
At least 5 years of experience in data science AI domain
Experience working with factchecking tools or document validation systems.
Background in backend development particularly with cloudbased architectures (e.g. AWS GCP or Azure).
Familiarity with data privacy and compliance regulations in the pharmaceutical industry.
Experience contributing to research papers or publications in the AI/ML field.
Musthave
client/customer LLM implementing
Soft Skills
Strong communication skills with the ability to convey complex technical concepts to nontechnical stakeholders
Interview Steps
GT interview with Recruiter
Technical interview
Final interview
Reference check
Employment Type
Full-Time
