.NET Fullstack Developer

Job Title:.NET Fullstack Developer Location: New York, Hybrid Role: Contract/Fulltime Job Description: We are seeking a highly experienced .NET Fullstack Developer with strong expertise in AI coding and readiness to join our Wealth Management and Banking technology team. The ideal candidate will have 10+ years of professional experience in deg, developing, and deploying enterprise-grade applications, with a proven track record of integrating AI-driven solutions into financial platforms. Key Responsibilities: Design, develop, and maintain scalable fullstack applications using .NET Core, C#, ASP.NET, Angular/React, and SQL Server . Collaborate with business stakeholders in Wealth Management and Banking to translate requirements into technical solutions. Integrate AI/ML models into existing systems to enhance decision-making, personalization, and automation. Ensure applications are AI-ready , leveraging APIs, cloud services (Azure AI, Cognitive Services), and modern frameworks. Lead architectural discussions and provide guidance on best practices for fullstack and AI-driven development. Optimize application performance, security, and compliance with financial industry standards. Mentor junior developers and contribute to knowledge-sharing across the team. Required Skills & Experience: 10+ years of experience in fullstack development with.NET technologies. Strong proficiency in C#, ASP.NET Core, Web API, Entity Framework, Angular/React, JavaScript, HTML5, CSS3. Experience with AI/ML integration (Python, TensorFlow, PyTorch, Azure ML, or equivalent). Deep understanding of Wealth Management and Banking domain workflows, including portfolio management, risk assessment, and compliance. Hands-on experience with cloud platforms (Azure preferred) and microservices architecture. Strong knowledge of SQL Server, database design, and performance tuning. Familiarity with DevOps practices, CI/CD pipelines, Git, Docker, Kubernetes. Excellent problem-solving, communication, and leadership skills. Preferred Qualifications Exposure to AI-driven financial advisory tools and robo-advisory platforms. Experience in regulatory compliance frameworks (e.g., Basel III, MiFID II). Certifications in Microsoft Azure, AI/ML, or Financial Technology.