Senior Fullstack Engineer - New York

About Alaffia & Our Mission

Each year, the U.S. healthcare system suffers from over $500B in wasted spending due to medical billing fraud, waste, and administrative burden. At Alaffia, we’re on a mission to change that. We’ve assembled a team of clinicians, AI/ML engineers, and product experts to build advanced AI that finally bends the cost curve for all patients across our ecosystem. Collectively, we’re building best-in-class AI software to provide our customers with co-pilot tools, AI agents, and other cutting-edge solutions to reduce administrative burden and reduce healthcare costs. We’re a high-growth, venture-backed startup based in NYC.

About the Role & What You’ll Be Doing

Alaffia Health is a healthcare AI startup revolutionizing medical billing and data automation. Our AI-driven platform leverages state-of-the-art generative AI and machine learning technologies to enhance accuracy, efficiency, and compliance in medical billing and auditing. As we scale, we are seeking a Senior Fullstack Engineer to build the cutting-edge AI products, drive innovation, and shape the future of healthcare automation.

At Alaffia Health, we are looking for a talented fullstack engineer who is passionate about building modern web applications and scalable systems. Our platform leverages cutting-edge technologies to revolutionize healthcare administration workflow. We seek someone who thrives on solving complex frontend and backend challenges, from crafting intuitive user interfaces to designing robust API architectures. You will have the opportunity to work with Typescript, React, GraphQL, PostgreSQL and latest cutting edge AI technologies while implementing features that directly impact healthcare organizations. In this role, you'll be building the future of healthcare automation while tackling challenging problems in web development, system design, and cloud infrastructure.

Key Skills & Qualifications

Code Fluency

• Write code that captures the essential nature of the solution and is appropriately flexible, reusable, efficient, and adaptable to changing requirements. Provide high quality code review feedback and adopt approaches to foster effective and collaborative code review culture. Strong awareness of the technologies used by the team and the ecosystem around these technologies and able to introduce new ideas to solve business and technical problems. Is responsible for successful delivery of their projects, including planning, risk management, design, development, testing, rollout, and maintenance. Find ways to simplify application code/infrastructure and improve developer efficiency as measured by cycle time, ramp-up time, or other similar measurements.
• Experience with enterprise codebases and the ability to onboard into an established product.
• Preemptively identify and resolve technical risks before they jeopardize the project. Resolve cross-team dependencies earlier to ensure the successful execution of the project.
• Avoid re-inventing the wheel by leveraging other Alaffia Health solutions or off-the-shelf solutions with the possible trade-off in mind.

Software Design

• Responsible for designing the software or systems in the owned area and ensuring that they meet their design objectives.
• Give quality feedback on designs written by other members of the team, asking probing, insightful questions that solidify choices and surface erroneous assumptions.
• Effectively and quickly debug cross-module issues, and may intuit where bugs might lie due to deep knowledge of the libraries, platforms, and systems that the software relies on.

Architecture Design

• Create coherent designs with multiple components interacting across API or system boundaries; bugs do not creep in at the boundaries between components due to mismatches in expectations of what is technically feasible.
• Capable of rolling out a component or major feature (and deprecating an existing system or feature) reliably - including appropriate monitoring, paging, etc are in place, and that failure domains are understood and characterized appropriately, avoid introducing toil and future maintenance work by proactively avoiding scaling issues and providing adequate documentation before large scale rollout. For early stage products, roll out with an eye toward achieving learning goals untainted by poor quality and know when to make appropriate tradeoffs for “failing fast”.
• Design clear success metrics and achieve those metrics consistently post-launch through the lifetime of the system or feature. For early stage products, those success metrics may be oriented around learning goals rather than usage goals, given the inherent unpredictability of achieving product/market fit.

Business Acumen<