Principal Engineer

Staff / Principal Engineer

Department: Advisory

Employment Type: Full Time

Location: US

Compensation: $163,547 - $185,000 / year

Newfire Global Partners is a leading technology firm that specializes in building transformative software solutions for some of the world’s most innovative companies. With a presence across four continents, Newfire Global brings deep expertise in digital healthcare, AI-driven analytics, and enterprise technology. The firm’s track record of delivering scalable, high-impact solutions has made it a trusted partner for organizations seeking to drive meaningful change through technology.

We are passionate about the purpose-driven mission to help improve the quality of care for patients and are building a collaborative, innovative, and inclusive culture. We are a fully funded company founded by serial entrepreneurs with a stable client base.

Newfire Global Partners, a leader in developing disruptive healthcare technology, collaborates with Fortune 500 companies and start-ups to drive transformation.

We are seeking an exceptional Staff or Principal Engineer to join our client's engineering leadership team. This is a senior individual contributor role for a technologist who thrives at the intersection of modern software engineering and artificial intelligence. The ideal candidate will bring deep full‑stack expertise across C#, React, and Python, paired with a demonstrated ability to lead and champion AI‑assisted development practices—spanning LLM integration, MLOps, prompt engineering, and AI‑powered product features.

Based in the US with a strong preference for East Coast availability, this engineer will set the technical direction for how AI amplifies our engineering teams and shapes our healthcare platform.

• Serve as a technical leader and trusted authority on AI‑assisted engineering, driving adoption of Copilot, code generation, and LLM‑powered tooling across the engineering organization.
• Architect and deliver AI‑powered product features that improve healthcare outcomes—spanning intelligent automation, clinical decision support, and member‑facing experiences.
• Design and implement LLM workflows and prompt engineering patterns, ensuring reliable, safe, and scalable AI integrations in production environments.
• Lead MLOps initiatives including model deployment pipelines, monitoring, versioning, and lifecycle management in collaboration with data science teams.
• Build and maintain full‑stack solutions using C# (.NET), React, and Python, with a strong focus on scalability, security, and maintainability.
• Define and evangelize engineering best practices for AI integration, code quality, and system design across Staff and Senior engineers.
• Collaborate with product, data, and clinical teams to identify high‑impact opportunities for AI and machine learning in the healthcare domain.
• Conduct design reviews, architecture discussions, and hands‑on code reviews to raise the technical bar across the organization.
• Mentor and grow senior engineers, fostering a culture of experimentation, ownership, and continuous learning.
• Stay at the forefront of rapidly evolving AI/ML tooling, evaluating and recommending emerging technologies relevant to the client.

• Deep proficiency in C# and .NET—including API design, microservices architecture, and enterprise‑grade backend systems.
• Strong hands‑on experience with React and modern front‑end development patterns (Type Script, component architecture, state management).
• Solid Python skills with practical experience in scripting, automation, data pipelines, or ML model integration.
• Proven experience integrating LLMs (e.g., OpenAI, Azure OpenAI, Anthropic) into production applications via APIs, SDKs, or orchestration frameworks such as Lang Chain or Semantic Kernel.
• Strong understanding of prompt engineering principles, RAG (Retrieval‑Augmented Generation) patterns, and LLM evaluation strategies.
• Hands‑on experience with MLOps tooling and practices—including model versioning, deployment, monitoring, and retraining pipelines.
• Experience with AI‑assisted development tools such as Git Hub Copilot, Cursor, or…