# Senior AI Engineer - Healthcare AI Solutions
We're looking for a Senior AI Engineer passionate about transforming healthcare through cutting-edge technology. You will make hands-on contributions to the design, development, and deployment of advanced Machine Learning (ML) and Natural Language Processing (NLP) solutions powering Patient Finder.
You'll work on high-impact initiatives including Generative AI, Named Entity Recognition and Linking (NER/NEL), multilingual NLP, and continuous learning on complex healthcare datasets. This role offers deep technical ownership and end-to-end responsibility for production-grade ML solutions.
## Key Responsibilities
- Design, build, and maintain robust, scalable ML and NLP solutions for production environments
- Contribute hands-on to the codebase, implementing high-quality, production-ready AI systems
- Collaborate with cross-functional engineering teams to ensure seamless integration of AI components with search engine and data warehouse
- Apply best practices in software engineering, including testing, observability, and CI/CD for ML systems
- Support internationalization and localization of NLP components across multiple languages
- Work with Product Owner and engineering stakeholders to translate business requirements into high-quality ML deliverables
- Research, evaluate, and apply state-of-the-art NLP and ML methodologies
- Share expertise with peers and informally mentor junior engineers
## Requirements
- 6+ years of industry experience in AI/NLP with strong track record of delivering production-grade solutions
- Strong proficiency in Python for ML and NLP
- Solid software engineering fundamentals and experience integrating ML systems into large-scale production environments
- Deep expertise in supervised and unsupervised learning, deep learning, and NLP
- Experience deploying, monitoring, and maintaining production ML/NLP systems
- Ability to clearly communicate complex technical concepts to cross-functional teams
- Strategic mindset for data science product planning under uncertainty
- Holistic understanding of end-to-end ML pipelines within broader system architectures
- Strong problem-solving and critical thinking skills