Senior Applied AI Engineer

Wellthy is a company dedicated to improving care infrastructure for families. As a Senior Applied AI Engineer, you will design, develop, and implement applied AI solutions while driving the AI-first transformation of the product and engineering teams.

Responsibilities:

• Lead design and development of applied AI systems (RAG pipelines, LLM integrations, APIs)
• Ensure safe, reliable AI outputs with guardrails, monitoring, and evaluation
• Prototype quickly, then scale to production with maintainable code
• Mentor engineers on AI best practices and safe adoption
• Partner with product and engineering leadership to collaborate on project timelines and scope for AI initiatives
• Make effective trade-offs between technical debt and short-term delivery of value
• Run experiments and rapidly prototype to quickly assess tools and prospective features
• Use AI to effectively deliver high-quality, efficient, and maintainable code, setting standards and best practices for the engineering team
• Collaborate closely with cross-functional teams to integrate AI solutions into existing and new features and applications
• Contribute to the development of foundational AI capabilities, such as RAG/vector-database solutions and agentic workflow solutions
• Create solutions for continuously improving AI solutions through monitoring, analytics and user feedback
• Support the ability to easily evaluate AI performance against various models and prompts
• Troubleshoot and resolve intricate technical issues related to AI implementations
• Mentor and guide other engineers, fostering their adoption and appropriate use of AI
• Support innovation through researching and assessing the latest AI advances on an ongoing basis
• Contribute to comprehensive testing strategies, including unit testing, integration testing, and continuous integration practices
• Develop and maintain documentation of AI solutions and related processes and best practices
• Support the production operations of the applications by participating in technical support and release duty rotations

Requirements:

• Minimum of 7+ years of professional experience in software development with at least 2 years of hands-on applied AI/LLM experience
• Strong proficiency in Python and modern AI frameworks (LangChain, vector DBs)
• Experience with Retrieval-Augmented Generation (RAG) and API-based LLM integration
• Have deployed evaluation frameworks for LLMs, with an understanding of performance, reliability, and bias assessment
• Strong understanding of risks inherent in AI and approaches for mitigating them
• Familiarity with coding workflows using AI
• Strong problem-solving skills and a collaborative, solution-oriented mindset
• Excellent communication skills for effective cross-functional collaboration
• Experience leading complex projects, demonstrating strong technical leadership
• Ability to mentor and guide other engineers
• Passion for continuous learning and keeping up with AI trends and advances
• Strong knowledge of AI security principles and best practices
• Experience with frontend design principles and user experience (UX) considerations
• Exposure to cloud-native development and containerization
• Exposure to agile development methodologies
• Prior work in healthcare or regulated domains