Staff Software Engineer, Artificial Intelligence

Fabric Health is a company dedicated to solving healthcare's biggest challenge: clinical capacity. They are seeking a Staff Software Engineer specializing in Artificial Intelligence to define the technical direction and architecture for advanced language and voice technologies, while mentoring senior engineers and driving complex AI and ML applications.

Responsibilities:

• Defining the end-to-end architecture for mission-critical ML/AI applications and owning the entire SDLC of those applications
• Pioneering and driving the productionization of ML and AI features in Python, integrating them seamlessly with core backend services
• Setting technical standards and providing mentorship to the engineering team, raising the overall technical bar and driving best practices
• Partnering with product and medical teams to architect appropriate, responsible safeguards and business constraints for all AI outputs at a system level
• Collaborating with engineering leadership to design and evolve robust interfaces for the Data Science team’s applications, so they can be used by a wide array of products across the organization
• Leading the way in designing and implementing automated evaluation frameworks to rigorously measure the accuracy, fairness, and performance of our systems
• Serving as the technical owner for existing NLP and AI diagnosis production components, overseeing their maintenance and strategic improvement
• Developing and driving adoption of comprehensive analytics to monitor system performance, identify systemic bottlenecks, and strategically prioritize improvements
• Leading the organization's strategy for getting the most out of AWS Bedrock, focusing on resilience and cost-efficiency
• Maintaining a technical vision by rapidly researching, prototyping, and introducing new AI tools, APIs, and architectures that align with company needs
• Shaping Fabric’s long-term AI strategy and contributing significantly to the future of healthcare AI

Requirements:

• A masters' degree in a related field, or
• 8+ years of experience in software engineering or applied machine learning, with a strong focus on building real-world AI/ML systems, or
• Strong experience in developing healthcare-specific AI/ML solutions; or
• Demonstrable experience developing novel, highly impactful AI/ML solutions that handle sensitive data
• Proficiency in backend software engineering using Python
• Solid understanding of embeddings and embedding databases
• Familiarity with modern AI/ML frameworks and tools, with constant attention to new tools, trends, and technologies
• Experience building and deploying cloud-native applications on AWS
• Demonstrated ability to bring models from research to production, solving for latency, scale, and reliability
• Effective communication skills and the ability to work across disciplines in a fast-paced, agile environment
• Strong technical leadership skills, with a particular focus on growing and supporting a skilled, senior-level team
• Prior work on multimodal AI interfaces or agent-based dialogue systems
• Experience hosting, scaling, and fine-tuning open-source models
• A passionate interest in improving healthcare access and outcomes through applied AI