Staff Engineer / Principal Engineer

🕒 vor 2 Monaten

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $163.547 - $185.000 / Jahr

⏰ Vollzeit

🔴 Experte

🧑‍💻 Full-Stack-Entwickler

Jetzt Bewerben

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Newfire Global Partners

WebsiteLinkedInAlle Stellen

501 - 1000 Mitarbeiter

Gegründet 2016

🤝 B2B

🤖 Künstliche Intelligenz

💳 Fintech

B2B • Artificial Intelligence • Fintech

Newfire Global Partners ist ein amerikanisches IT-Dienstleistungs- und Beratungsunternehmen (gegründet 2016 in Boston), das Talentverstärkung, Softwareentwicklung, Datenanalyse und KI/ML-Beratung für Unternehmens- und Investorenkunden anbietet. Das Unternehmen bietet multidisziplinäre Engineering-, Produkt- und Marketingteams, technische Due Diligence für VC/PE, Optimierung von Datenplattformen und ein internes ML-Tool (Novel Heat) zur Verbesserung der Codequalität und der Scrum-Geschwindigkeit. Newfire ist in Amerika, Europa und APAC tätig mit einem 24x5 "Follow-the-Sun"-Liefermodell und konzentriert sich auf Sektoren wie digitale Gesundheitsversorgung, Fintech, Cybersecurity und Bildungstechnologie.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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