Tech Lead — ASR / TTS / Speech LLM (IC + Mentor)
outcomesai
Full time
Backend / ML-Ops Engineer — Speech Model Deployment & Inference Optimization
outcomesai· Gen AI
About this role
OutcomesAI is a healthcare technology company building an AI-enabled nursing platform designed to augment clinical teams, automate routine workflows, and safely scale nursing capacity.
Our solution combines AI voice agents and licensed nurses to handle patient communication, symptom triage, remote monitoring, and post-acute care — reducing administrative burden and enabling clinicians to focus on direct patient care.
Our core product suite includes:
● Glia Voice Agents – multimodal conversational agents capable of answering patient calls, triaging symptoms using evidence-based protocols (e.g., Schmitt-Thompson), scheduling visits, and delivering education and follow-ups.
● Glia Productivity Agents – AI copilots for nurses that automate charting, scribing, and clinical decision support by integrating directly into EHR systems such as Epic and Athena.
● AI-Enabled Nursing Services – a hybrid care delivery model where AI and licensed nurses work together to deliver virtual triage, remote patient monitoring, and specialty patient support programs (e.g., oncology, dementia, dialysis).
Our AI infrastructure leverages multimodal foundation models — incorporating speech recognition (ASR), natural language understanding, and text-to-speech (TTS) — fine-tuned for healthcare environments to ensure safety, empathy, and clinical accuracy. All models operate within a HIPAA-compliant and SOC 2–certified framework. OutcomesAI partners with leading health systems and virtual care organizations to deploy and validate these capabilities at scale. Our goal is to create the world’s first AI + nurse hybrid workforce, improving access, safety, and efficiency across the continuum of care.
Own the infrastructure and pipelines for integrating trained ASR/TTS/Speech-LLM models into production. Focus on scalable serving, GPU optimization, monitoring, and continuous improvement of inference latency and reliability.
Frequently Asked Questions
Is the salary disclosed for the Backend / ML-Ops Engineer — Speech Model Deployment & Inference Optimization position at outcomesai?
The salary for this Backend / ML-Ops Engineer — Speech Model Deployment & Inference Optimization role at outcomesai is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Backend / ML-Ops Engineer — Speech Model Deployment & Inference Optimization position at outcomesai located?
This Backend / ML-Ops Engineer — Speech Model Deployment & Inference Optimization role at outcomesai is based in Bengaluru. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Backend / ML-Ops Engineer — Speech Model Deployment & Inference Optimization role at outcomesai full-time or part-time?
This is listed as a Full time position. It is posted as a Backend / ML-Ops Engineer — Speech Model Deployment & Inference Optimization role in the Gen AI department at outcomesai.
Which team or department does the Backend / ML-Ops Engineer — Speech Model Deployment & Inference Optimization at outcomesai belong to?
This Backend / ML-Ops Engineer — Speech Model Deployment & Inference Optimization position is part of the Gen AI department at outcomesai. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Backend / ML-Ops Engineer — Speech Model Deployment & Inference Optimization position at outcomesai?
Click the "Apply Now" button on this page. You will be redirected to outcomesai's official application portal hosted on lever where you can submit your application directly.
When was the Backend / ML-Ops Engineer — Speech Model Deployment & Inference Optimization job at outcomesai posted?
This Backend / ML-Ops Engineer — Speech Model Deployment & Inference Optimization position at outcomesai was posted on Nov 7, 2025. Apply as soon as possible — early applications are often reviewed first.
Backend / ML-Ops Engineer — Speech Model Deployment & Inference Optimization
outcomesai
You'll be redirected to outcomesai's official application page on Lever.