Staff Engineer / Principal Engineer

🕒 Março 31

🍂 Massachusetts – Remoto

🍂 Massachusetts – Remote

💵 $163.547 - $185.000 / ano

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

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Newfire Global Partners

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2016

💼 Consultoria

🏥 Saúde

📣 Marketing

Consulting • Healthcare • Marketing

A Newfire Global Partners é uma empresa americana de serviços de TI e consultoria (fundada em 2016 em Boston) que oferece aumento de equipe, engenharia de software, dados e análise, e consultoria em IA/ML para clientes corporativos e investidores. A empresa oferece equipes multidisciplinares de engenharia, produto e marketing, due diligence técnico para VC/PE, otimização de plataforma de dados e uma ferramenta interna de ML (Novel Heat) para melhorar a qualidade do código e a velocidade do Scrum. A Newfire opera nas Américas, Europa e APAC com um modelo de entrega 24x5 "follow-the-sun" e foca em setores como saúde digital, fintech, cibersegurança e tecnologia educacional.

Descrição

• 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.

🎯 Requisitos

• 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 Databricks, Snowflake, or Azure Synapse.

🏖️ Benefícios

• medical, dental & vision coverage • health spending accounts • voluntary benefits • leave of absence policies • Employee Assistance Program • 401(k) program with employer contribution • Flexible work schedules and time-off policy • company equipment for all new full-time US-based remote employees