Staff Software Engineer - AI/ML Focus for Healthcare
About the Role
We are seeking a Staff Software Engineer, AI to join our team at Fabric Health. In this remote role, you will play a pivotal part in shaping the future of healthcare technology. You will leverage your deep expertise in AI and machine learning to set the technical direction and define the architecture for advanced language and voice technologies that enhance patient-provider interactions.
What You'll Do
- Define the end-to-end architecture for mission-critical ML/AI applications and own the entire SDLC of those applications.
- Pioneer and drive the productionization of ML and AI features in Python, integrating them seamlessly with core backend services.
- Set technical standards and provide mentorship to the engineering team, raising the overall technical bar and driving best practices.
- Partner with product and medical teams to architect appropriate safeguards and business constraints for all AI outputs at a system level.
- Collaborate with engineering leadership to design and evolve robust interfaces for the Data Science team’s applications, ensuring they can be utilized across various products.
- Lead the design and implementation of automated evaluation frameworks to rigorously measure the accuracy, fairness, and performance of our systems.
- Serve as the technical owner for existing NLP and AI diagnosis production components, overseeing their maintenance and strategic improvement.
- Develop and drive adoption of comprehensive analytics to monitor system performance, identify systemic bottlenecks, and strategically prioritize improvements.
- Lead the organization's strategy for maximizing AWS Bedrock, focusing on resilience and cost-efficiency.
- Maintain a technical vision by rapidly researching, prototyping, and introducing new AI tools, APIs, and architectures that align with company needs.
- Shape Fabric’s long-term AI strategy and contribute significantly to the future of healthcare AI.
Requirements
- A master’s 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.
- 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.
Nice to Have
- 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.
What We Offer
- Competitive salary range of $165,000 - $210,000 per year.
- Comprehensive benefits package including medical, dental, vision, unlimited PTO, and a 401(k) plan.
- Stock options and bonuses based on performance.
- Opportunity to work in a mission-driven environment that values diversity and inclusion.
- Flexible remote work arrangements that promote work-life balance.
This role offers a unique opportunity to lead AI initiatives in healthcare, with a competitive salary and the chance to make a significant impact.
Who Will Succeed Here
Proficient in Python and experienced with frameworks such as TensorFlow or PyTorch for developing AI and machine learning models tailored for healthcare applications.
Self-motivated and disciplined, thriving in a remote work environment, with strong time management skills to balance multiple projects and deadlines effectively.
Demonstrates a strategic mindset with a strong foundation in cloud-native architectures, particularly in AWS, to design scalable and secure AI solutions for healthcare systems.
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