Staff / Principal Engineer

Newfire Global Partners•Boston, MA

6h•Remote

About The Position

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. Opportunity for impact 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.

Requirements

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.

Nice To Haves

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 Databricks, Snowflake, or Azure Synapse.

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 Monogram Health's mission.