Do you love crafting AI-driven solutions that create an impact? Are you a hands-on engineer passionate about building and deploying AI/ML applications that revolutionize healthcare and life sciences? If you’re eager to push the boundaries of technology and make a real-world impact, we want you on our team!
We are a small top performing team that is changing the way individuals conduct medical research. EvidenceHunt offers an AI-powered research platform that streamlines the process of gathering, analyzing and utilizing medical evidence. Developed by medical professionals and health-tech experts, our mission is to accelerate evidence-based decision making in healthcare by making research simple, effective and reliable.
Join us and create a lasting impact on the healthcare industry!
Tasks
As an AI Engineer at EvidenceHunt, you’ll work on exciting challenges that demand creativity, technical excellence, and a passion for innovation. Here’s how you’ll contribute:
- AI & RAG Solutions: create and fine-tune AI/ML models, including LLMs and information retrieval techniques, to enhance our platform’s capabilities.
- Prompting: Develop, test, and refine efficient prompts to maximize the performance of different LLMs, ensuring effective and context-aware AI responses.
- Optimize Performance: Improve model efficiency, accuracy, and relevance using MLOps practices and cloud-based AI platforms.
- Drive AI Research: Stay up to date with the latest AI advancements and explore innovative approaches, such as retrieval-augmented generation (RAG) pipelines.
- Collaborate & Innovate: Work closely with our Tech Lead and CEO to translate AI capabilities into real-world solutions that improve medical research.Ensure Scalability & Reliability: Implement AI models that are production-ready and integrate seamlessly into our cloud-based infrastructure.
Requirements
We’re looking for an AI enthusiast who brings vision, talent, and drive to take EvidenceHunt to the next level.
Must-Have Skills
- AI/ML Expertise: 3+ years of experience working with AI/ML models, including training, fine-tuning, and deploying models in real-world applications.
- Programming languages: Proficiency with a programming language such as Python
- Strong Understanding of AI Architectures: Knowledge of NLP, large language models (LLMs), vector search, and retrieval-based AI systems.
- Content parsing pipelines: Knowledge of multimodal parsing, (semantic) chunking and indexing strategies to facilitate efficient handling of a variety of RAG-based use cases, from full document readouts to key data snippet retrieval.
- Cloud & MLOps Familiarity: Experience using cloud AI services (e.g., Vertex AI, AWS SageMaker) and implementing AI pipelines in production.
- Analytical Mindset: Ability to interpret and improve AI model performance based on data-driven insights.
Non-Technical Attributes
- Passion for AI: A deep interest in applying AI to solve real-world medical research challenges.
- Problem-Solving Mindset: A proactive approach to tackling AI challenges and optimizing models for practical applications.
- Startup Mentality: Adaptability, creativity, and willingness to take ownership in a fast-paced environment.
- Excellent Communication Skills: Ability to clearly explain AI concepts and collaborate with cross-functional teams.
Bonus Skills
- Familiarity with Elasticsearch or other search technologies to improve AI-driven information retrieval.
- Experience in production RAG pipelines
- Experience as a software engineer.
- Experience in AI safety, ethical AI principles, or explainability in machine learning.
- Background in biomedical informatics, health-tech, or medical research AI applications.
Benefits
- Competitive Salary + Stock Options: Be rewarded for your work with compensation that reflects your talent and dedication.
- Impactful Work: Contribute to a platform that empowers better healthcare outcomes worldwide.
- Tech Playground: Work with cutting-edge AI and cloud technologies.
- Work-Life Balance: Flexible hybrid working with an Amsterdam base.Incredible Team: Collaborate with people who inspire, challenge, and support you
Ready to make an impact? Join us and help shape the future of medical research!