Senior Software Engineer, Artificial Intelligence

About Fabric Health

At Fabric Health, we are powering boundless care by solving healthcare’s biggest challenge: clinical capacity. We aren’t here to disrupt healthcare; we’re here to fix it. We unify the care journey from intake to treatment, using intelligent automation to remove administrative burdens and make care delivery 2-10x more efficient. Our technology empowers clinicians to move faster and focus on what matters most: the patient.

We are a mission-driven team of brilliant minds trusted by leading organizations including Intermountain Health, OSF HealthCare, SSM Health, and MUSC Health. Our vision is backed by premier investors such as Thrive Capital, GV (Google Ventures), General Catalyst, and Salesforce Ventures. We move quickly for good reason, listen deeply to solve big challenges, and build products with the same care and quality we’d want for our own loved ones.

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About The Role

We are looking for a Senior Engineer with AI expertise to lead the development of advanced language and voice technologies that transform how patients and providers interact. In this role, you will drive Fabric’s work in large language model (LLM) applications—such as retrieval-augmented generation (RAG), classification, and fine-tuning—as well as speech, natural language processing (NLP), and machine learning (ML). This is a hands-on, high-impact position at the intersection of innovation and production engineering. You will work cross-functionally to build intelligent, responsive dialogue systems and infrastructure for Fabric’s conversational AI experiences across voice and digital channels.

What You'll Do

As a Senior Engineer, AI, you will be instrumental in bringing advanced AI concepts from prototype to production. Your primary responsibilities will include:

• Designing, building, and optimizing LLM applications (e.g., RAG, classification, summarization).
• Prototyping and productionizing ML and AI features in Python, integrating them with backend services.
• Partnering with product and medical teams to develop appropriate safeguards and business constraints for AI outputs.
• Collaborating with engineering to develop APIs for LLM applications used by other product components.
• Creating automated evaluations to measure the accuracy and performance of LLM-powered systems.
• Maintaining and improving existing NLP and AI diagnosis production components.
• Developing analytics to monitor system performance and prioritize improvements.
• Deploying AI services end-to-end in cloud-native environments using AWS and Kubernetes.
• Staying on the cutting edge by researching and testing new AI tools, APIs, and architectures.
• Contributing to our conversational AI strategy and helping shape 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 in their preferred language and format.
• 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 pipelines 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

• A bachelor's degree in a related field is preferred, but not required.

• 5+ years of experience in software engineering or applied machine learning, with a strong focus on building real-world AI/ML systems.

• Proficiency in backend development using Python (Flask or FastAPI), and 3+ years of hands-on experience with LLMs and LLM agents.

• Core Competencies:

• Solid understanding of embeddings and embedding databases.

• Experience in NLP or speech processing technologies.

• Familiarity with modern AI/ML frameworks and tools (e.g., Hugging Face, OpenAI API, LangChain, LangGraph).

• Experience building and deploying cloud-native applications on AWS with Kubernetes and container tools.

• 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.

Bonus Points

• Experience with conversational agents, or real-time voice communication (e.g., WebRTC, telephony), ASR, TTS, or voice assistants.
• 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 $150,000.00 - $190,000.00 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.

__At Fabric, we believe that a diverse workforce is essential to our success. We are an equal opportunity employer and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, or any other legally protected characteristic. We actively encourage individuals from all backgrounds to apply.

_Recruitment Fraud Alert: Protect Yourself

Fabric Health Is Aware Of Scammers Attempting To Impersonate Employers. To Ensure That Any Recruiting Contact You Receive Is Legitimate, Please Adhere To The Following

• Verify the Domain: Official recruitment emails will only come from addresses ending in @fabrichealth.com or @gem.com. No other domain names are legitimate.
• Official Interview Tools: We use Gem for our recruitment process and Google Meet for all video interviews. Google Meet is always the platform used for your first interview; you will never be sent a Zoom link to set up or conduct an initial interview. All interviews are conducted via video unless specifically stated by our team as an audio call. We never conduct interviews via chat, social media, Skype, or WhatsApp.
• Zoom Usage: Zoom is utilized only for specific meetings set directly by our team for purposes outside of the standard interview process (e.g., coordination or onboarding discussions). It is never the first link you will receive from us.
• Authorized Contact & Texting: Fabric will only contact you if you have submitted an application or if you are connected to a current employee who shared your information with us. We will only send text messages if you have provided explicit authorization and consent, either through your application or while communicating directly with our team. If you have not explicitly authorized us to reach out, treat any SMS or unsolicited outreach as fraudulent and do not respond.
• Sensitive Data: We will never ask you for sensitive personal or financial documents (ID, banking info, SSN) during the application, interview, or candidacy stages. All sensitive data is handled through secure internal systems post-offer.
• Verify the Team: You can reference LinkedIn to verify members of our recruiting team; however, please remain vigilant as scammers may create fraudulent profiles. Always cross-reference the sender's email domain with our official @fabrichealth.com address.

If you question the validity of a contact or receive a suspicious message, do not click any links. Report the issue immediately to careers-security@fabrichealth.com.

Please note: The security inbox is for reporting fraudulent activity only. Do not email this address for application status updates or to share application materials, as these will not be reviewed. Applications are only accepted and reviewed if submitted through our official application portal, and no application status information will be provided via the security email.