AI Full-Stack Software Developer

JOB SUMMARY & RESPONSIBILITIES

• Design, develop, and maintain modern full-stack applications using C#, .NET, ASP.NET Core, React, Angular, Blazor, and related technologies.
• Build reusable software components, APIs, services, and frameworks that accelerate enterprise application development.
• Develop and integrate Artificial Intelligence (AI) solutions, including Generative AI, Retrieval-Augmented Generation (RAG), machine learning services, and intelligent automation capabilities.
• Create secure and scalable REST APIs and microservices that support AI-powered business applications.
• Collaborate with business stakeholders, product owners, and cross-functional teams to identify opportunities where AI can improve operational efficiency, customer experiences, and decision-making.
• Design and develop front-end user experiences that incorporate conversational AI, intelligent recommendations, predictive analytics, and automation workflows.
• Integrate enterprise data sources with AI platforms, vector databases, and cloud-based AI services.
• Optimize application performance, scalability, reliability, and security across distributed systems.
• Participate in architecture reviews, code reviews, and technology evaluations.
• Develop and maintain CI/CD pipelines and deployment automation processes.
• Implement testing strategies, monitoring, logging, and observability for production applications.
• Stay current on emerging AI technologies, development frameworks, cloud services, and software engineering best practices.
• Contribute to enterprise AI governance, security, data privacy, and responsible AI initiatives.

REQUIREMENTS

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field (or equivalent experience).
• 5+ years of professional software development experience using C# and the .NET platform.
• Strong experience developing modern web applications using ASP.NET Core, Web APIs, and front-end frameworks such as React, Angular, or Blazor.
• Experience designing reusable software components and enterprise application architectures.
• Knowledge of AI and machine learning concepts, including LLMs, prompt engineering, vector databases, embeddings, and AI orchestration frameworks.
• Experience integrating Azure OpenAI, Microsoft Copilot Studio, Azure AI Services, OpenAI APIs, Anthropic Claude APIs, or similar AI platforms.
• Strong understanding of relational and non-relational database technologies including SQL Server, PostgreSQL, Cosmos DB, or similar platforms.
• Experience with source control systems such as Git and collaborative development workflows.
• Understanding of object-oriented programming principles, software design patterns, and secure coding practices.
• Strong troubleshooting, analytical, and problem-solving capabilities.
• Self-motivated, requires little direct supervision or assistance to complete tasks.
• Able to contribute to a team-oriented, collaborative environment.
• Passionate about learning, embracing new technologies, and solving complex business challenges.

PREFERRED QUALIFICATIONS

• Experience with Azure AI Foundry, Azure OpenAI, Microsoft Copilot Studio, Semantic Kernel, LangChain, or similar AI development frameworks.
• Experience developing Retrieval-Augmented Generation (RAG) solutions.
• Experience with Kubernetes, containers, and cloud-native application architectures.
• Knowledge of DevOps practices, CI/CD pipelines, Infrastructure as Code, and GitHub Actions or Azure DevOps.
• Experience working with vector databases such as Pinecone, Azure AI Search, Weaviate, or Qdrant.
• Familiarity with MLOps concepts and machine learning deployment pipelines.
• Experience building AI agents, workflow automation, and autonomous business process solutions.
• Knowledge of information security, AI governance, and secure development lifecycle practices.
• Experience with financial services, collections, fintech, or other regulated industries.
• Microsoft Azure, AI, or cloud certifications are preferred.

BENEFITS

• 401(k)
• 401(k) matching
• Dental insurance
• Disability insurance
• Employee assistance program
• Flexible spending accounts
• Health insurance
• Life insurance
• Paid time off
• Parental leave
• Tuition reimbursement
• Vision insurance
• Pet insurance
• Employee discount program.