AI/LLM Engineer | Kodily, UK

GT was founded in 2019 by a former Apple, Nest, and Google executive. GT’s mission is to connect the world’s best talent with product careers offered by high-growth companies in the UK, USA, Canada, Germany, and the Netherlands.

On behalf of Kodily, GT is looking for an AI/LLM Engineer.

Project description:

Kodily is a British startup that developed an AI-driven app to streamline the medical and pharmaceutical documentation review process, ensuring compliance with UK standards. Traditionally, this review process involves a multi-person team (medical, legal, and code of practice experts) and is both costly and time-consuming. After initial reviews, materials are typically sent to a UK-registered medic for final sign-off. 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 full-stack 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 Test-based LLM applications that handle document review processes

• Create and test LLM prompts

• Create and test LLM-based 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 fact-checking tools or document validation systems.

• Background in backend development, particularly with cloud-based 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.

Must-have

• client/customer LLM implementing

Soft Skills

• Strong communication skills with the ability to convey complex technical concepts to non-technical stakeholders

Interview Steps

1. GT interview with Recruiter

2. Technical interview

3. Final interview

4. Reference check