Full Stack .NET Architect - GenAI ; Remote

Overview

This Full‑Stack Engineering Architect role focuses on designing and implementing advanced Generative AI applications. The position is open to candidates located anywhere in the United States, with the option to work remotely or from one of our regional offices.

• Architect, design, and oversee the development of scalable, secure, and robust full‑stack solutions that integrate GenAI capabilities.
• Guide cross‑functional engineering teams in building end‑to‑end web and mobile applications using modern frameworks and cloud services.
• Lead the integration of state‑of‑the‑art GenAI models (e.g., LLMs, transformers, generative image and text models) into core business products.
• Collaborate with product managers, data scientists, and UX/UI designers to deliver seamless, user‑centric AI experiences.
• Establish and enforce software architecture best practices, coding standards, and agile development methodologies.
• Evaluate emerging AI technologies and provide strategic recommendations for adoption and implementation.
• Mentor engineers, fostering technical excellence and continuous learning within the team.
• Ensure solutions comply with security, privacy, and regulatory requirements relevant to GenAI applications.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 10+ years of experience in full‑stack development, .NET, cloud computing (Azure), and modern Dev Ops practices.
• Experience with Microsoft Azure OpenAI Service and deploying and scaling GenAI models (OpenAI, Hugging Face, custom LLMs).
• Strong understanding of microservices, API design, containerization (Docker, Kubernetes), and CI/CD pipelines.
• Experience architecting solutions with RESTful and Graph
  
  QL APIs, No
  
  SQL/SQL databases, and real‑time data processing.
• Track record of leading engineering teams and delivering complex projects from conception to production.
• Excellent problem‑solving, communication, and leadership skills.
• Passion for innovation and staying ahead of GenAI trends.

• Knowledge of agentic AI concepts, frameworks, and practical applications.
• Experience with prompt engineering, fine‑tuning, and deploying custom GenAI models.
• Knowledge of ethical AI practices, responsible AI frameworks, and related governance.
• Background in building AI‑powered chatbots, recommendation engines, or creative content tools.
• Familiarity with MLOps, model monitoring, and performance optimization.

• Medical, dental, and vision coverage
• Life and long‑term disability coverage
• 401(k) plan with company match
• Bonus opportunities
• Paid holidays and paid time off