Top Tech Jobs & Startup Jobs in Charlotte, NC

Own product strategy, roadmap prioritization, development lifecycle, launches, and platform scalability initiatives. Partner with Product, Engineering, GTM, Customer Success, Operations, channel partners, and leadership to deliver complex cross-functional programs. Track metrics, communicate program health, mitigate risks, improve processes, and ensure seamless customer onboarding. The role requires strategic execution, quantitative problem-solving, and experience shipping software products at scale.

Build and maintain scalable ML and generative AI platforms and backend infrastructure; deploy and manage production applications; create services exposing ML/AI products; implement RAG solutions and vector databases; integrate LLM orchestration and foundation model APIs; collaborate cross-functionally and mentor teammates.

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.

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.

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.

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.