Role overview
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 work on
- 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.
What we're looking for
- 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
[email protected]
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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.