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Mid-level generalist SDE title, metro location, and broad required skills increase candidate competition.
Role requires C#/.NET backend plus LLM/agent experience and enterprise integrations, limiting cross-industry transferability.
Explicit 6–8 years requirement plus mandatory C#/.NET, LLM integration, Azure, Docker, and CI/CD mandates strict filtering.
Design, build, test, deploy, and operate AI-powered applications integrating large language models (LLM) and agentic tooling to solve internal business problems.
Own end-to-end software development using C# and .NET including production-quality code, testing (unit, integration, end-to-end), CI/CD deployment, and monitoring performance in production.
Collaborate with senior engineers and stakeholders to translate requirements into technical designs, ensure quality and safety of AI features, and produce clear documentation for support.
6-8 years of professional software development experience with production application delivery.
Strong proficiency in C#/.NET, REST/JSON API design, and AI application development with LLMs (prompting, function/tool calling, RAG, orchestration).
Experience with automated testing frameworks, CI/CD pipelines (Azure DevOps), Docker containerization, cloud deployments (Microsoft Azure), and databases (SQL and NoSQL).
Strong English communication skills and ability to explain technical trade-offs to technical and non-technical stakeholders.
Has deep hands-on experience integrating and deploying LLM-based AI applications with agentic orchestration frameworks such as Model Context Protocol (MCP) or similar.
Experienced in operating cloud-based software using DevOps practices and monitoring for performance, cost, and reliability.
Familiar with enterprise system integrations (APIs, iPaaS), multiple database types, and has a background in security, SaaS, or B2B technology sectors.