TL;DR

Member of Technical Staff (Health AI): Designing and delivering cutting-edge LLM solutions in healthcare across the full AI modelling stack with an accent on prompt design, pre- and post-training, inference, evaluation, and deployment. Focus on translating frontier AI research into transformative products and solving complex challenges in a safety-critical health space.

Location: Hybrid in London, United Kingdom. Employees are expected to work from a designated Microsoft office at least four days a week if they live within 25 miles of that location.

Company

%hirify_global%'s health team is on a mission to help millions of users better understand and proactively manage their health and wellbeing.

What you will do

Work across the full AI modelling stack, including prompt design, pre- and post-training, inference, evaluation, LM systems design, and deployment.
Deliver LLM solutions in healthcare by working across research and engineering boundaries.
Design and validate hypotheses across a cutting-edge language modelling stack.
Play a major role in cultivating a positive team culture within a lean founding team.

Requirements

Bachelor’s Degree in Computer Science or related technical discipline, OR equivalent experience.
Technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python.
Demonstrated full-stack experience in large-scale AI, with empirical evidence from top-tier publications, open-source contributions, and/or on-the-job work.
Deep expertise in one or more parts of the AI stack, including prompt engineering, pre-training, fine-tuning, reinforcement learning, data curation, LLM inference, orchestration, evaluation pipelines, and deployment.
Ability to work in London with a hybrid office presence.

Nice to have

Ability to flex across research and engineering boundaries, wearing both research and engineering hats.
Passion for conversational AI and its deployment.
Strong written and verbal communication skills to work closely with cross-functional teams.
Passion for learning new technologies and staying up to date with industry trends.
Proven ability to collaborate and contribute to a positive, inclusive work environment.

Culture & Benefits

Work within a world-class team translating cutting-edge research into transformative products.
Opportunity to work on impactful projects that help millions of users understand and manage their health and wellbeing.
Be part of a lean founding team within a larger organization.
Work in a hybrid model, fostering in-person collaboration.