Jobs at Lyra Health

Provide comprehensive neuropsychological evaluations and interpret tests. Collaborate with care teams to inform and coordinate treatment planning.

Lead design, training, fine-tuning, and deployment of ML and generative models (LLMs, diffusion). Build scalable MLOps pipelines, vectorization and data ingestion, integrate models into microservices for low-latency inference, implement evaluation/alignment/bias-mitigation, optimize models (quantization, distillation), and mentor engineers while influencing the AI product roadmap.

Build and deploy AI-powered tools, agents, and automations that improve internal workflows across Lyra Health. Partner with business and clinical teams to identify opportunities, translate ambiguous needs into software, and own solutions from discovery through adoption and measurable impact. Integrate AI capabilities with Python and Java microservices, web and mobile applications, and third-party systems. Evaluate emerging AI tools, promote agentic development practices, track efficiency metrics, and ensure responsible handling of sensitive healthcare data.

Leads Lyra Health’s external communications strategy, including media relations, corporate messaging, executive communications, thought leadership, content creation, and analyst relations. Partners with senior executives to shape company narratives, coach spokespeople, strengthen clinical expert platforms, and protect organizational reputation. Establishes communication processes and metrics, coordinates cross-functional initiatives, and manages and develops media relations and executive communications teams.

Coordinate provider onboarding and clearance for a 900+ provider network, including Leidos relations, communications, Zendesk support, issue resolution, stipend payments, attrition tracking, reporting, data reconciliation, and workflow documentation. The contractor will maintain accurate pipeline records, support provider activation and training, develop self-service resources, and operate autonomously across multiple unintegrated systems.

The Senior Salesforce Developer will design, develop, integrate, secure, and support complex Salesforce solutions across Service, Sales, Data, and Marketing Cloud. Responsibilities include configuring Service Cloud, building Apex and Lightning solutions, developing integrations with enterprise systems, optimizing performance, troubleshooting issues, managing sandboxes, documenting implementations, and supporting stakeholders. The role also provides technical leadership, defines solution approaches, and identifies opportunities for Salesforce-based AI and workflow improvements.

Manage and expand customer relationships, drive upsell opportunities, partner with Customer Success Managers, and maintain accurate Salesforce records.

The role involves overseeing full-stack development, creating APIs, improving microservices, and collaborating with cross-functional teams to enhance mental health care interfaces.

Design, implement, and maintain AWS cloud infrastructure; modernize platform tooling and EKS footprint; optimize managed datastores; build self-service CI/CD, developer templates, and automation; enforce IAM/security controls and compliance; monitor performance and collaborate with engineering and ML teams.

Embed with internal teams to map workflows and build AI-powered tools, agents, and automations. Own full lifecycle from discovery to deployment, adoption, measurement, and iteration. Integrate solutions with Python/Java microservices, web and mobile apps, and third-party systems. Run experiments on emerging models and agentic frameworks, track efficiency metrics, and collaborate with product, design, data science, security, and clinical partners.

Contract Recruiter will source, screen, and manage the full recruitment lifecycle for licensed mental health therapists across specified geographies, serving as primary provider contact and evaluating candidates to expand Lyra's Clinical Provider Network.

Build and maintain backend services and infrastructure to support core ML/AI product features. Design scalable, resilient, high-performance systems, implement production REST APIs, deploy and manage applications (Docker/Kubernetes), and collaborate cross-functionally while coding daily.

Build and maintain backend services and infrastructure for ML and generative AI features. Develop scalable, resilient, high-performance Python services (async frameworks, streaming), deploy to Kubernetes, integrate RAG and LLM orchestration, instrument LLM observability, and collaborate cross-functionally to deliver production-ready AI products.

Maintain and enhance Zendesk instances and integrations, implement Zendesk AI features, administer configurations and business rules, develop documentation, troubleshoot issues, optimize performance, provide technical guidance, and build reports and dashboards with Zendesk Explore.

Manage high-volume provider onboarding and training operations including facilitating live/asynchronous sessions, administering WorkRamp LMS, optimizing EHR/tech setups, tracking training engagement, owning lifecycle logistics, serving as provider liaison, identifying process improvements, and maintaining training materials in Salesforce, Zendesk, and Google Suite.

As a Sr. Data Engineer at Lyra Health, you will build and scale core data infrastructure, design data warehouses, and create efficient data pipelines while collaborating across departments.

Lead architecture and technical strategy for Lyra's ML and generative AI platform. Design training, fine-tuning, and low-latency inference infrastructure (RAG, vector DBs), set ML/AI SDLC standards (dataset lineage, CI/CD, evaluation, monitoring), partner with cross-functional clinical and product teams, mentor senior engineers, deliver prototypes and critical code, and ensure secure, reliable production ML systems.

Build and maintain ML and generative AI tooling, training and inference platform services, model evaluation and testing frameworks, and APIs to expose ML products. Deploy and manage applications across the AI/ML SDLC, mentor teammates, and write production-quality code daily.

Design and evaluate predictive and generative models, extract insights from disparate clinical and product data, build and partner on data pipelines, run rigorous evaluations and experiments, and deliver time-sensitive ad hoc analyses to product, engineering, and clinical stakeholders.

Lead a small engineering team as a hands-on technical manager to design, develop, and deploy core product features. Hire, scale, and mentor engineers while ensuring high quality, security, and best practices. Collaborate with Product, Data, and Clinical partners and drive execution for a new health plans and systems vertical and Bend Health platform work.