We are looking for an AI Engineer to contribute to our mission to improve our patients' health and their lives, with the development of our web applications. This is a hybrid role for our office in London (UK) or Sofia (BG)
 

Who you are

• You’re an experienced software engineer with 4+ years of commercial experience in commercial AI applications and use cases

• You are customer focussed and excited about making impact on a product that drives positive change to the lives of millions of people around the world

• You have a genuine enthusiasm for software engineering and take no greater pleasure than finding the right solution to the problem at hand and making practical tradeoffs

• You’re eager to continuously learn, grow and step out of your comfort zone

• The idea of working in a successful, high growth startup in a fast paced role excites you

 

What you will do

Build impactful AI solutions to transform healthcare

• Develop and integrate AI-driven capabilities to improve the productivity and quality of decision making of our doctors, clinicians and nutrition experts (by automating routine tasks or enabling advanced data analysis) and build AI-native products that can assist our customers with behavioural change

• Leverage out-of-the-box AI/ML technologies (LLMs, RAG, embeddings) to create practical and scalable solutions for real-world use cases

• Collaborate with cross-functional teams (Product, Engineering, Customer Support) to identify opportunities & customer needs and translate them into AI-powered features

• Proactively share AI best practices with our Product & Engineering teams, and advocate for innovative solutions that can further improve our products
  
  Requirements:

• At least 4 years of commercial experience in developing & deploying AI/ML powered applications

• Practical experience with Python and familiarity with frameworks such as FastAPI, TensorFlow, LangChain / LlamaIndex

• Familiarity with prompt engineering, embeddings & RAG, and vector databases

• Experience with AWS ML capabilities (e.g. SageMaker, Bedrock) or their GCP/Azure equivalents

• Experience with evaluating and improving the accuracy, efficiency and performance of LLM and RAG implementations and use cases

• Track record of working autonomously, owning end-to-end outcomes, and influencing cross-functional teams in a fast-paced environment

• Great verbal and written communication skills and the ability to explain complex ideas in a simple way to non-engineering teammates and stakeholders

• This is a hybrid role and you need to be based in London (UK) or Sofia (BG) so you can be in the office 3 days per week

• Other skills you might have

• Experience with MLOps, CI/CD and production deployment of AI models

• Practical experience with chatbot development and conversational AI systems

• Understanding of responsible AI principles and practices

• Familiarity with scalable backend systems, cloud platforms and data engineering (pipelines, data cleaning, transformation & integration)

• A degree in Computer Science or Data Science is a plus

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  Benefits

• Generous stock option plan
• 25 days holidays and generous parental leave & flexible working policies
• Annual company retreat 
• £400 annual learning & development budget with Learnerbly 
• Join in the early stages of one of the most promising scale-ups in the health & wellness space
• Our recruitment process
• Team fit interview: you'll meet with product & tech leaders
• Case study: a take home tech task to assess your software engineering skills
• Tech interview: you'll meet with tech team and discuss your case study solution
• 2 Interviews with members of the executive team
• Offer