Your Future is our Future
At Lumeris, we believe that our greatest achievements are made possible by the talent and commitment of our team members. That's why we are actively seeking talented and collaborative individuals who are passionate about making a difference in the healthcare industry. Join us today as we strive to create a system of care that every doctor wants for their own family and become part of a community that values its people and empowers you to make an impact.
We're excited to consider every qualified candidate authorized to work in the United States, although we are unable to sponsor visas for this role at this time.
Position:
Position Summary:
Job Description:
Primary Responsibilities
Voice AI Development
- Build and deploy real-time conversational voice agents, working across the speech stack — speech-to-text, LLM reasoning, and text-to-speech, as well as newer speech-to-speech approaches.
- Solve the practical problems that determine whether voice works in the real world: telephony audio fidelity, latency, interruptions and barge-in, background noise, and variable capture conditions.
- Develop simulation capabilities that generate and role-play patient conversations at scale, covering the range of real-world conditions and edge cases that manual testing cannot reach.
- Make and defend architecture tradeoffs across the voice stack, balancing control, latency, and simplicity.
Model Development & Fine-Tuning
- Design and train deep neural networks from the ground up, moving beyond off-the-shelf and regression-based approaches.
- Fine-tune language models on clinical and longitudinal healthcare data for prediction and generation tasks.
- Select and apply the right training approach for the problem, and articulate clearly where training, fine-tuning, and prompting each belong.
- Build the data pipelines and transformations that make clinical data usable for model development.
Evaluation & Safety
- Build evaluation pipelines that measure model output for accuracy, consistency, completeness, and omission — including LLM-as-judge approaches.
- Red-team AI agents to surface failure modes before they reach production, and translate findings into measurable quality improvements.
- Establish the testing discipline and quality signals that clinical reviewers rely on.
Cross-Functional Partnership
- Partner with clinical, product, and engineering teams to turn ambiguous problems into defined technical work.
- Communicate complex technical concepts credibly to both technical and non-technical audiences, including company leadership.
- Mentor junior team members and raise the technical standard across the group.
Qualifications