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Specialized LLM role but metro location and AI popularity moderately increase applicant density.
Highly specialized LLM and agent engineering reduces cross-industry transferability significantly.
Explicit 9+ years and mandatory LLM/agent/production experience create strict filtering.
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Design and develop AI-first, agentic applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-agent workflows.
Build, optimize, and integrate autonomous agents and MCP-compatible tools/services into enterprise AI systems ensuring performance, reliability, and safety.
Collaborate with cross-functional teams to deliver scalable AI-driven features and mentor developers in AI engineering and agentic designs.
9+ years professional software development experience; minimum 3 years working on AI/LLM & agentic systems.
Bachelor’s degree in Engineering, Computer Science, or equivalent.
Hands-on experience with LLM frameworks (Azure OpenAI, OpenAI, Claude API) and agent architectures including Semantic Kernel, LangChain, LangGraph, or similar.
Experience with cloud platforms (Azure preferred), relational databases, multi-threading, scalability, and strong debugging and problem-solving skills.
Experienced in building production-grade AI systems integrating LLMs, autonomous agents, and tool integration protocols (MCP).
Comfortable designing end-to-end intelligent workflows balancing software engineering excellence with advanced AI innovation.
Skilled in agent-based architectures and multi-agent orchestration frameworks with knowledge of AI safety, observability, and enterprise system integration.