Remote AI Engineer

Our HeathTech client is seeking an AI Software Engineer.

The successful candidate will work 100% remotely, from anywhere worldwide.

MFK Recruitment has recruited four Software Engineers for this groundbreaking start-up over the past two years.

Salary – Our client offers a very competitive salary and generous stock options. The company has a fair pay policy depending on the region of the successful candidate.

About my client: They envision a world where groundbreaking medical therapies are judged using all available evidence and the best possible software, where the data and science are transparent to companies and regulators alike to make the best possible decisions faster and with greater accuracy and confidence. They’re developing innovations for clinical research and public health authorities. While initiatives exist that have brought standardization for clinical trial data structure, lengthy analysis and submission cycles remain, while increasing trial complexity and numbers present substantial challenges in decision-making, ultimately slowing the speed of medical progress.

The products they build empower the pharmaceutical sector and regulators to analyze and perform quality control studies faster, with fewer resources, and at lower cost, increasing the rate at which innovation enters the market to provide improved and safer therapies for devastating diseases.

Culture: My client’s mission is to build the future of healthcare. To help them succeed, they’re creating a unique employee culture. They’re fanatically customer-obsessed, crafting world-class products that customers love with every interaction. They take extreme ownership and accountability of their work, seeing whatever they do through to completion. They communicate candidly and directly with each other, even when it's uncomfortable. They’re innately curious, open to alternative perspectives and invest passionately in their own continuous growth.

AI Software Engineer - Role Description:
As an AI Engineer, you will join a world-class engineering team. You will use the latest in AI, LLMs, and RAG systems and combine them with code and data traceability, the core of my client’s technology, to create the most reliable and accurate code generator to analyze clinical trials. You will be expected to lead the analysis, design, and engineering of the AI stack, including its RAG system, selection and fine-tuning of models, as well as its production-ready deployment. As part of our core team, you will join us in designing, prioritising, building and testing new functionality, troubleshooting customer issues, finding root causes, and developing improvements to ensure maximal user impact and performance.

Our RAG system is based on Python and Pinecone and we have deployed a set of open-source models. We interact with our code and data traceability graph through our main application stack which is currently based on Next.js and deployed via Docker/Kubernetes in the cloud. Our code analysis pipelines are based on Antlr4 and Java. Git is where our code lives and GitHub Actions is how it gets out into the world. Your role will be to build an Agentic AI Scientific Computing Environment (SCE). It will resolve issues identified, modify existing code, and create analyses from pre-existing templates and eventually from scratch. It does so by checking out code using git, modifying it using our full study traceability insights (specifications, metadata, data, and code traceability), feeding its results back into the Platform, and ultimately reaching its goals through iterations guided by expert-reviews.

The Agentic AI SCE will increase the speed with which clinical trials are analyzed and become a crucial part of software, In combination with the Validator that extracts full dataset and column-level data lineages and dependencies from existing clinical trials, the Platform will allow for the efficient creation, validation, understanding, modification, communication of clinical trials and enable code and data reuse. Clinical trials will be analyzed and validated faster, better, and at lower costs to the benefit of all of humanity.

AI Software Engineer - Requirements:

• Experience with and foundational understanding of LLMs (especially open source models), including production deployment
  
  
• Experience with and foundational understanding of non-LLM AI, including production deployment
  
  
• Experience with RAG systems (Pinecone or similar)
  
  
• Strong interest in programming languages, parsing algorithms, interpreters, and compilers
  
  
• Extensive experience in Python, Pandas, and at least one other programming language
  
  
• Experience with and clear understanding of graph theory and algorithm implementation
  
  
• Highly motivated and highly independent, able to create and manage a code base
  
  
• We & mission mindset
  
  
• Iteration mindset
  
  
• Strong focus on building as a team
  
  
• Strong communication skills
  
  
• "If it's not code and documented, it doesn't exist"-mindset
  
  AI Software Engineer - Bonus points:
  
  
• Experience with code generation
  
  Benefits:
  
  
• What you build impacts the lives of people around the world
  
  
• Highly collaborative, ambitious and world-class team
  
  
• Employee Stock Options Plan
  
  
• All remote, asynchronous work environment
  
  
• Additional benefits depending on country of residence