Tech Lead, .NET Developer, AI Engineer (Applied​/Software)

Department: Physician Enterprise Development

Location: Remote

Compensation: $140,000 - $160,000 / year

Technical Lead – Microsoft Technologies (.NET, Azure, Angular, AI)

Preference will be given to candidates located in Dallas, TX, New Jersey or New York City metro area who are willing to have an insite interview, and/or work a hybrid schedule.

At Hallmark Health Care Solutions, what we do and how we do it go hand in hand. We bring a relentless focus to both our products and our people—grounded in curiosity, a bias for action, accountability and ownership, strong judgment, and a willingness to challenge the status quo in pursuit of better outcomes.

Hallmark Health Care Solutions is led by passionate experts with an average of 20+ years’ experience in IT, nursing, process engineering, finance, and healthcare. We are committed to strengthening communities by producing technologies, support services, and thought leadership that tangibly improve patient care and community health outcomes.

Seeking a hands‑on Technical Lead with strong Microsoft stack, Azure, Angular, and cloud‑native application expertise. The ideal candidate will lead teams, design scalable solutions, and drive engineering best practices.

Experience with Azure AI, Azure OpenAI, or similar platforms is required. The role combines technical leadership, hands‑on development, code reviews, architecture guidance, and mentoring.

• Design and develop scalable enterprise applications using C#, .NET Core/.NET 8+, ASP.NET Core, and Web APIs.
• Develop modern, responsive front‑end applications using Angular and Type Script.
• Build secure RESTful APIs and microservices.
• Optimize application performance, scalability, and reliability.
• Troubleshoot complex production issues and provide root cause analysis.
• Exposure to Basic Azure Cloud & Infrastructure Management and services like AKS, Service Bus, App Insights etc.
• Design and implement authentication and authorization using Microsoft Entra  (Azure AD) and Azure AD B2C (Microsoft Entra External ).
• Candidate should have practical experience implementing AI solutions,
• Should have exposure to Database design & Performance optimization

• Understand business problems and translate them into scalable AI/ML and Generative AI solutions.
• Design, develop, and deploy enterprise‑grade AI systems with a strong focus on reliability, scalability, monitoring, and measurable outcomes.
• Lead or contribute to multiple AI initiatives simultaneously while coordinating with engineering leads, product managers, architects, and offshore teams.

• Lead one or more Agile development teams delivering enterprise SaaS applications.
• Provide technical direction and architectural guidance throughout the software development lifecycle.
• Establish and enforce coding standards, design principles, and development best practices.
• Conduct thorough code reviews and ensure high‑quality, maintainable code.
• Mentor developers and help improve their technical capabilities.
• Participate in sprint planning, backlog refinement, estimation, and technical design discussions.
• Drive engineering excellence through automation, quality, and continuous improvement.
• Candidate will be working closely with Product Managers, Architects, QA Engineers, Dev Ops Engineers, and Business Analysts.

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
• 8+ years of software development experience using Microsoft technologies.
• 3+ years leading engineering teams or serving as a Technical Lead
• Expert‑level proficiency in:
• C#
• .NET Core / .NET 6/7/8
• ASP.NET Core
• Web APIs
• Entity Framework Core
• SQL Server
• Strong experience with Angular (v12+) and Type Script.
• 2+ years of software engineering experience with at least 3+ years focused on AI/ML and Generative AI initiatives.
• Strong hands‑on experience building and deploying production AI systems.
• Experience delivering AI initiatives independently in enterprise environments.
• Strong understanding of LLMs, Agentic AI architectures,…