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Niche LLM/agent skills and senior level reduce applicant density despite metro location.
Specialized LLM, agentic AI and .NET/Azure requirements make cross-industry transitions difficult.
Explicit 9+ years and mandatory LLM/.NET/Azure tooling create strict screening filters.
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Design and develop AI-powered applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based architectures.
Build and optimize autonomous and multi-agent AI workflows integrating Model Context Protocol (MCP) and AI interaction tools within enterprise systems.
Ensure AI system performance, reliability, safety, and observability while mentoring developers in AI engineering and agentic design patterns.
9+ years of professional software development experience, including 3 years in building AI product/LLM & agentic systems.
Bachelor's degree in Engineering, Computer Science, or equivalent.
Hands-on experience with LLMs (Azure OpenAI, OpenAI, Claude API), RAG techniques, embeddings, vector databases, and .NET technology stack including Semantic Kernel.
Experience with cloud platforms (Azure preferred), relational databases (SQL Server, PostgreSQL), Agile/Scrum environments, and strong software engineering fundamentals.
Proven capability to build production-grade AI systems involving LLMs, autonomous agents, and intelligent automation workflows.
Expertise in agent-based architectures, AI tool integrations (MCP), and design of scalable AI-enabled cloud architectures.
Strong balance of software engineering skills and AI innovation mindset, with experience mentoring teams and collaborating cross-functionally in enterprise settings.