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Metro location and mid-level role with specific AI/.NET skills create moderate competition.
Skills (C#/.NET backend and LLM integration) are transferable but require specific platform and AI experience.
Explicit seven-year requirement plus many mandatory tech stacks increases shortlisting strictness.
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Architect and deploy AI solutions embedded with enterprise clients, focusing on production-ready microservices.
Develop backend services using .NET 8/9 (C#), ASP.NET Core, Entity Framework, and microservices architecture.
Integrate Anthropic Claude LLM (version 3/3.5), implement RAG pipelines and agentic workflows, and scale using tools like GitHub Copilot.
7 years of relevant experience in backend development and AI solution deployment.
Proficiency in C#, .NET 8/9, ASP.NET Core, Entity Framework, and microservices.
Experience with Anthropic Claude LLM, prompt engineering, RAG, and agentic workflows.
Knowledge of cloud platforms (AWS or Azure), containerization (Docker, Kubernetes), CI/CD, and security standards (OAuth/OIDC, secure API gateways).
Experienced in integrating generative AI models like Anthropic Claude within enterprise backend environments.
Skilled in microservices design and deployment with strong cloud DevOps practices.
Comfortable architecting secure, compliant AI workflows in corporate banking or similar regulated domains.