What You'll Do
Design and maintain full-stack applications using C#, .NET Core, and modern front-end frameworks such as React and Blazor. You'll develop robust APIs and integrate systems through RESTful services and event-driven architectures, ensuring seamless communication between internal platforms and third-party tools.
Embed artificial intelligence into business workflows by leveraging commercial AI services and internal AI capabilities. Use Python to automate data processing and support AI integration, while building data pipelines that feed analytics and future modeling initiatives. Collaborate with DevOps teams to deploy secure, scalable applications using Infrastructure as Code and multi-cloud environments.
Partner with business stakeholders to understand operational needs and translate them into technical implementations. Work closely with senior engineers and architects to ensure solutions are maintainable, secure, and aligned with long-term organizational goals. Help shape the evolution of AI use across the enterprise as capabilities expand.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a related technical field
- Minimum of 5 years of professional experience developing full-stack applications with C# and .NET Core
- Proven experience building and integrating with RESTful APIs and SaaS platforms
- Solid background in relational databases such as SQL Server, Oracle, or MySQL
- Familiarity with cloud platforms including Azure and AWS, and deployment best practices
- Ability to collaborate effectively with technical teams and business units
- Understanding of AI application patterns such as prompt engineering, retrieval-augmented generation (RAG), or AI automation is preferred
Preferred Qualifications
- Experience integrating commercial AI services like OpenAI, Microsoft Copilot, or Google Gemini
- Knowledge of AI orchestration frameworks such as LangChain or LlamaIndex
- Exposure to vector or graph databases including Pinecone, ChromaDB, or Neo4j
- Understanding of secure cloud environments, including government cloud standards
- Experience with AI frameworks like PyTorch or TensorFlow in production settings
Benefits
- Competitive salary and benefits package
- Opportunities for career advancement
- Access to cutting-edge technologies and tools
- Support for ongoing education and skill development
- Recognition for high-quality contributions
- Commitment to work-life balance
