Staff / Principal Engineer

Northwind Robotics 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. Opportunity for impact Northwind Robotics , 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 Role & responsibilities • 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 You’re a Perfect Match If You Have: • 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 (TypeScript, 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 LangChain 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 — model versioning, deployment, monitoring, and retraining pipelines. • Experience with AI-assisted development tools such as GitHub Copilot, Cursor, or equivalent, with the ability to coach teams on effective usage. • Solid understanding of cloud infrastructure (Azure preferred) and how to architect scalable, secure AI-integrated systems. • Strong command of software design principles — SOLID, clean architecture, domain-driven design, and API-first development. • Experience with CI/CD pipelines, infrastructure as code, and DevOps practices in a cloud-native environment. Optional / Plus • Experience in healthcare technology, including knowledge of HL7, FHIR, or clinical data standards. • Familiarity with vector databases (e.g., Pinecone, Weaviate, Azure AI Search) for embedding-based retrieval systems. • Exposure to fine-tuning or customizing foundation models for domain-specific use cases. • Knowledge of responsible AI practices, model explainability, and bias mitigation in healthcare contexts. • Experience with data platforms such as Databrick