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AI/LLM Engineer | Kodily, UK

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Full Remote
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Offer summary

Qualifications:

At least 5 years of experience in data science or AI., Experience with fact-checking tools or document validation systems., Background in backend development with cloud-based architectures like AWS, GCP, or Azure., Familiarity with data privacy and compliance regulations in the pharmaceutical industry..

Key responsabilities:

  • Develop and test LLM applications for document review processes.
  • Create and test LLM prompts and logic chains.
  • Implement and evaluate LLM-based logic for compliance checks.
  • Collaborate with team members to enhance AI-driven app functionalities.

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GT Scaleup https://gtit.org
2 - 10 Employees
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Job description

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

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication

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