Lead AI Engineer

UpHill is the place where health professionals can find best practices to decide and train.
We’re backed and trusted by top-tier investors and leading clients (e.g. Luz Saúde, Caixa Capital, Bynd, Maze, Brighteye Ventures, Novartis, Pfizer, etc).

We are seeking a talented Lead AI Engineer to join our dynamic team and contribute to the development of a groundbreaking decision support SaaS platform. As a Lead AI Engineer, you will play a pivotal role in designing, implementing, and productizing AI solutions that will drive innovation in healthcare.

Requirements:

• M.Sc. with strong Computer Science and Statistical Learning components (e.g. Computer Science, Electrical Engineering, Physics, Aerospace Engineering, etc). Ph.D. is valued.
• Minimum of 4 years of work experience in applied Machine Learning roles.
• Extensive experience with Generative AI and Large Language Models (LLMs).
• Proven track record of deploying Large Language Models in production environments.
• Proficiency in Python or other commonly used languages in AI/ML development.
• Hands-on experience with open-source frameworks like LangChain.
• Experience leveraging a variety of services to act as data sources
• Proactivity and enjoyment in starting projects from scratch.
• Capability to demonstrate and evaluate AI solutions via experimental methods, particularly through hands-on creation of prototypes.
• Able to create end-to-end working prototypes – from planning, architecture, data engineering, analysis, and algorithm implementation.
• Commitment to continuous learning and staying updated with advancements in the field of AI.
• Flexibility and adaptability to thrive in a dynamic environment where projects and requirements may change frequently.
• Experience with or knowledge of Agile Software Development methodologies.
• Devotion to the project and ability to deliver under tight deadlines.
• Excellent English proficiency.

Responsibilities

• Lead projects to apply the latest AI technologies, enhancing the functionality of our applications.
• Design, implement, and productize AI pipelines with a focus on seamless data handling, preprocessing, design engineering, deployment, and monitoring.
• Architect end-to-end LLMOps solutions using cloud technologies, automation, and orchestration tools, ensuring scalability, reproducibility, and reliability of AI/ML solutions.
• Develop Generative AI solutions and prompt management frameworks using cutting-edge methods to generate diverse and high-quality insights.
• Collaborate cross-functionally with different teams to identify opportunities for improvement and innovation.
• Work closely with the Engineering and Product team to understand business requirements, translate them into technical solutions, and enhance our products and data infrastructure.
• Optimize AI algorithms and models for processing structured and unstructured data.
• Stay updated with emerging trends in AI and technologies, applying new techniques and best practices to ongoing projects.
• Ensure the quality and reliability of AI solutions through rigorous testing and validation.
• Document AI models, algorithms, and systems for internal and external stakeholders.

Perks

• Health & dental insurance.
• Birthday day-off
• Gym
• Flexible schedule
• Open vacation policy
• Budget for training
• Additional Team holidays – Get together with the entire company 
• Macbook and budget for peripherals.
• Office freebies.
• No Corporate BS.