• Design, develop, and deploy AI-powered applications using LLMs such as Claude, GPT, and other foundation models. • Utilize GitHub Copilot / Claude Code to accelerate software development, testing, debugging, and documentation. • Build AI agents, copilots, and workflow automation solutions. • Design and develop AI/ML-based solutions using modern frameworks and tools • Build and maintain backend services using .NET (C#, ASP.NET Core) • Deploy, manage, and optimize applications on Microsoft Azure • Integrate AI models into production systems and APIs • Work with structured data stored in Oracle DB, including performance tuning and query optimization • Collaborate with data scientists, product managers, and cross-functional teams • Implement data pipelines and workflows for AI model training and inference • Ensure scalability, reliability, and security of AI applications • Monitor model performance and continuously improve solutions

• Trabajar junto a stakeholders y equipos multidisciplinarios para comprender necesidades técnicas y objetivos del negocio. • Diseñar e implementar arquitecturas modernas basadas en Microservicios y APIs robustas. • Desarrollar funcionalidades frontend dinámicas utilizando Blazor, JavaScript, HTML y CSS, garantizando una excelente experiencia de usuario. • Construir soluciones backend eficientes utilizando C# y .NET, aplicando Entity Framework y LINQ para un acceso óptimo a datos. • Asegurar la calidad y confiabilidad del software mediante pruebas automatizadas, revisiones de código (Code Review) y controles de consistencia. • Configurar y optimizar entornos e infraestructura en la nube utilizando servicios de Azure (App Services, Key Vault, ACR). • Colaborar en la definición de flujos de integración y despliegue continuo (CI/CD) mediante Azure DevOps y Azure Pipelines. • Orquestar y gestionar el ciclo de vida de aplicaciones contenerizadas utilizando Docker y Kubernetes. • Implementar mecanismos robustos de autenticación y autorización con Azure AD (OAuth 2.0, JWT). • Brindar soporte técnico, promover buenas prácticas de ingeniería de software (Clean Code) y ofrecer mentoría a otros miembros del equipo.

• Work with the Rust Firmware team on various customer projects • Design the architecture and implement features into rust-based firmware stacks like Caliptra or OpenPRoT

• The Revenue Engine Team is making the foundational platform decisions that will shape how Headway moves money — between patients, providers, and payers — at the scale our growing network demands. As one of two staff engineers in the group, you'll partner with engineering leadership to set technical direction across our Payment Platform and Clearinghouse Platform teams. • This is platform work in the truest sense. Every payment that's charged or paid out, every claim that's filed and reconciled, every dollar that flows through Headway depends on the systems your teams own. As Headway's network grows — more patients, more providers, more payers, more transaction volume — the reliability, throughput, and correctness of these systems become the difference between a business that scales and one that doesn't. • You'll lead the design of fault-tolerant, observable, and deeply reconciled integrations with the third-party services we depend on. You'll build the abstractions and standards that let dozens of adjacent engineering teams — Billing Infrastructure, Patient Billing, Provider Payouts, and others — ship faster and more safely on top of our platform. • And you'll do it as a hands-on technical leader: writing code where leverage is highest, mentoring senior engineers across both pods, and shaping the operational excellence that this domain demands. • This role is for engineers who get energized by distributed systems problems with real consequences — concurrency, idempotency, partial failures, all with a substantial potential blast radius — and who want to apply that craft to a mission that actually matters: building a mental healthcare system that everyone can access.