Staff Engineer / Principal Engineer

🕒 il y a 2 mois

🍂 Massachusetts – Distant

🍂 Massachusetts – Remote

💵 $163 547 - $185 000 / an

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Recevoir des emails pour des emplois à distance

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

Newfire Global Partners

Site WebLinkedInTous les Emplois

501 - 1000 employés

Fondée en 2016

🤝 B2B

🤖 Intelligence artificielle

💳 Fintech

B2B • Artificial Intelligence • Fintech

Newfire Global Partners est une entreprise américaine de services et de conseil en informatique (fondée en 2016 à Boston) qui fournit des services d'augmentation de talents, d'ingénierie logicielle, de données et d'analytique, ainsi que de conseil en IA/ML à des clients d'entreprise et d'investissement. La société propose des équipes multidisciplinaires en ingénierie, produit, et marketing, une diligence technique pour VC/PE, une optimisation de plateforme de données, et un outil interne de ML (Novel Heat) pour améliorer la qualité du code et la vélocité Scrum. Newfire opère sur les Amériques, l'Europe et l'APAC avec un modèle de livraison 24x5 et se concentre sur des secteurs tels que la santé numérique, la fintech, la cybersécurité, et la technologie éducative.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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