++Our challenge++
We are seeking an experienced .NET Full Stack Developer with strong expertise in Angular, Python, and AI application development using LangGraph/LangChain frameworks. The ideal candidate will be responsible for designing, developing, and deploying scalable enterprise applications while integrating AI-driven solutions and agentic workflows. This role requires hands‑on experience across front-end, back‑end, cloud technologies, API development, and modern AI frameworks.
++The Role++
++Responsibilities:++
- Design, develop, and maintain enterprise‑grade applications using .NET Core/.NET 8, C#, and Angular.
- Build and consume RESTful APIs, Microservices, and Web Services.
- Develop AI‑powered applications using Python, LangGraph, LangChain, and Large Language Models (LLMs).
- Design and implement multi‑agent workflows, AI orchestration, and retrieval‑augmented generation (RAG) solutions.
- Integrate AI services with enterprise platforms and business applications.
- Develop responsive and user‑friendly front‑end applications using Angular, TypeScript, HTML5, CSS3, and Bootstrap.
- Work with cloud‑native services on Azure including App Services, Functions, Azure OpenAI, Storage, and CI/CD pipelines.
- Collaborate with business stakeholders, architects, and product teams to translate requirements into technical solutions.
++Requirements:++
- Strong experience with C#, .NET Core/.NET 6/7/8, ASP.NET MVC, and Web APIs.
- Hands‑on experience with Angular (12 ), TypeScript, JavaScript, HTML5, and CSS3.
- Proficiency in Python for AI/ML and backend development.
- Experience with LangGraph, LangChain, AI Agents, Agentic Workflows, and LLM integrations.
- Knowledge of Azure OpenAI, OpenAI APIs, Vector Databases, and RAG architectures.
- Experience with SQL Server, database design, stored procedures, and query optimization.
- Strong understanding of Microservices Architecture, API Gateway, and Event‑Driven Design.
- Experience with Git, Azure DevOps, CI/CD pipelines, and Agile methodologies.
- Familiarity with authentication and security frameworks such as OAuth2, JWT, and Azure AD.
Preferred, but not required:
- Experience with Semantic Kernel or Microsoft AI ecosystem.
- Exposure to Prompt Engineering, AI Model Evaluation, and LLM Monitoring.
- Knowledge of Docker, Kubernetes, and Containerization.
- Experience in Banking, Financial Services, or Enterprise Digital Transformation projects.