AI Microsoft Full Stack Developer

Marcum LLP offers a great career with exceptional benefits.

Find out more about this role by reading the information below, then apply to be considered.

There's a lot to think about when it comes to launching your career. At Marcum, we offer you a world of opportunity, a highly competitive salary, exceptional benefits, flexible work options, and industry-leading technology, all within an environment that values your contributions and supports your professional growth.

At Marcum, eligible associates receive a benefits package that includes health, dental, and vision insurance, short and long-term disability insurance, life insurance, flexible spending accounts, and transit benefits, as well as paid time off, a 401(k) plan with an employer contribution, and a profit sharing plan.

Marcum LLP is currently looking for an AI Microsoft Full Stack Developer to join their internal development team and focus on the AI initiatives within the firm.

The ideal candidate should have a minimum of 10 years of experience in Microsoft Development ( C#. .NET, Parallel Programming, ASP.

NET, Winforms, Core Framework, SPA development, and Entity Framework ) and the ability to present to management their coding design plans.

Proficiency in the use of tools, specifically ( Visual Studio, GIT, IIS and SQL Server ), is highly desired. Relevant internships will be taken into consideration when evaluating years of experience.

Visa Sponsorship is not available for this job opportunity.

Requirements :

• At least 10 years of proven experience as a full-stack developer in a Microsoft .NET environment.
• Strong proficiency with .NET technologies (C#, ASP.NET, Entity Framework, .NET Core).
• Experience with front-end technologies (JavaScript, CSS, HTML, and frameworks like Angular, React, or Vue.js).
• Experience integrating AI capabilities into existing .NET applications, improving their functionality and user experience.
• Professional Experience using AI algorithms and data models, machine learning concepts, relevant libraries and frameworks to develop applications and create robust analytics and predictive systems.
• Prior experience presenting code design plans and suggested approaches to management.
• Experience developing user interfaces that enable seamless interaction between users and AI systems.
• Experience with SQL and NoSQL databases, including design and optimization.
• Understanding of the principles of scalable application design and secure coding practices.
• Experience with cloud platforms, preferably Microsoft Azure.
• Strong problem-solving skills and ability to work in a team environment.
• Professional level, excellent verbal and written communication skills.
• Experience in the accounting or financial sector is a plus.
• The ability to demonstrate an understanding of the following design patterns, principles, and standards :
• S.O.L.I.D.
• Onion / Clean Architecture.
• DDD (Domain Driven Design).
• CQRS (Command and Query Responsibility Segregation).
• Repository Pattern.
• Dependency Injection (Microsoft Service Provider).
• Inversion of Control (IoC).
• Bachelor's degree in Computer Science, AI, or a related technical field.

Job Responsibilities :

• Design and implement full-stack AI solutions within a .NET environment, catering to both front-end and back-end services.
• Present design plans to management and participate in identifying new approaches to AI development.
• Work with AI algorithms and data models to create robust analytics and predictive systems for various accounting functions.
• Develop user interfaces that enable seamless interaction between clients or staff and our AI systems.
• Integrate AI capabilities into existing .NET applications, improving their functionality and user experience.
• Collaborate with data scientists, analysts, and other developers to build efficient, scalable solutions.
• Stay updated with the latest AI advancements and .NET releases to continually enhance the firm's technology stack.
• Write clean, maintainable, and efficient code while adhering to best practices.
• Test software to ensure responsiveness and efficiency, troubleshooting, and debugging as needed.
• Document development processes, code, and versioning, ensuring maintainability and knowledge transfer.

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