Top Healthtech Software Engineer Jobs in Washington DC,

Support, maintain, and enhance the Salesforce CRM including custom development, integrations, data migrations, reports, dashboards, security, and upgrades. Collaborate with cross-functional teams, produce technical documentation and specifications, provide user training and support, and continuously improve CRM processes and integrations to streamline business workflows.

Lead Leap's engineering function: hire and scale a high-performing team, own the technical roadmap and architecture, build AI-native data and production ML systems (LLMs/agents), and deliver correct, auditable healthcare workflows for drug identity, causal attribution, and intervention automation.

The Staff Software Engineer will lead AI integration into software design, develop scalable systems, and mentor other engineers while improving best practices.

The Integration Engineer will design and maintain healthcare data integrations, collaborating with teams to optimize performance and improve reliability using Python and various standards.

Lead architecture, implementation, operation, and scaling of customer-facing eCommerce systems (Shopify-centered), payment and subscription workflows, analytics/attribution instrumentation, and integrations. Provide hands-on technical leadership, establish engineering best practices, ensure security and reliability, and partner cross-functionally to support DTC growth and long-term platform needs.

Build and own the graph layer and RAG architecture enabling agent reasoning over full patient context. Select graph DBs, design query patterns, and ensure temporal coherence. Implement event-driven Kafka pipelines for auditable, immutable agent workflows and enforce ReBAC permissions. Prioritize safety and scalable AI-assisted workflows, participate in spec and plan reviews, and drive architecture decisions.

As a Senior Full Stack Engineer, you will design and implement AI-driven systems, ensuring reliability, security, and scalability while collaborating with stakeholders to translate high-level goals into technical solutions.

The role involves building and debugging components across the stack, focusing on patient care coordination tools, while collaborating with AI technology.

The VP of Engineering will lead AI-driven transformation, manage a 50+ engineer team, set technical vision, and build customer relationships while driving performance and quality improvement across engineering delivery.

Build and enhance full-stack web applications and APIs using React/TypeScript and Python. Work with PostgreSQL, DynamoDB, AWS, event-driven architectures, CI/CD, and AI-assisted development tools to prototype and improve AI-native engineering workflows.