Staff Software Engineer, Artificial Intelligence

Location: Remote

Department: Engineering

Location Type: REMOTE

Employment Type: FULL_TIME

About the Role

What You'll Do

• 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.

Why You Might Be a Good Fit

• You care deeply about the mission: You are passionate about deploying technology that empowers patients to engage with healthcare quickly, easily, and effectively.
• You're an autonomous problem solver: You excel at breaking down complex problems in the AI space and finding effective solutions, operating with autonomy and ownership.
• You’re a leader in your field: You stay current on machine learning, foundation models, and algorithms related to text and text-to-speech technologies.
• You value robust and responsible AI: You're committed to building robust testing and monitoring systems that provide insight into real-time performance, and you are dedicated to developing safeguards for responsible AI use.
• You thrive on collaboration: You enjoy working cross-functionally across teams, integrating AI use cases into products by understanding their APIs and data systems.
• You're a clear communicator: You're skilled at communicating complex ideas clearly to both technical and non-technical audiences.

This Might Not Be The Right Fit If...

• You prefer a role that is focused purely on research rather than hands-on, production-level engineering and deployment.
• You are not comfortable with the ambiguity and fast-paced nature of developing cutting-edge AI systems from the ground up.
• You prefer to work in a silo rather than collaborating closely with product, medical, and other engineering teams.
• You are not passionate about the specific application of AI to solve real-world problems in the healthcare industry.

Your Qualifications

• You have a combination of the following experience and credentials appropriate to a Staff-level engineering leader:
  • 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.

Bonus Points

• 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.

The national pay range for this role is $165,000.00 - $210,000.00 per year. Actual compensation will be determined by factors such as the candidate's geographic market, experience, skills, and qualifications. Certain roles may also be eligible for additional compensation, including a comprehensive benefits package such as medical, dental, vision, unlimited PTO, and a 401(k) plan, stock options and bonuses. If your compensation requirement is greater than our posted range, please still consider applying; a determination can be made based on unique qualifications. Expected compensation ranges for this role may change over time.