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Metro-based AI Engineer role with popular title, junior experience, and broad required skills increases competition.
ML/AI and LLM engineering skills transfer across industries but require AI-specific tooling knowledge.
Explicit 1–2 year requirement plus mandatory LLM, LangChain, RAG, and deployment skills raises filtering strictness.
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Design and build production-grade AI applications leveraging Large Language Models, Agentic AI, and Retrieval-Augmented Generation.
Develop and deploy scalable AI solutions including conversational AI, enterprise copilots, and AI automation platforms on cloud providers like AWS, Azure, or GCP.
Collaborate with cross-functional teams to translate business problems into AI-powered solutions and maintain AI application operations.
Bachelor's or master’s degree in Computer Science, AI, Machine Learning, Data Science, or related field.
1-2 years of professional experience in AI application development.
Proficiency in Python programming and experience with LLMs (OpenAI GPT, Claude, Gemini, Llama, etc.), LangChain, LangGraph, RAG, and Agentic AI frameworks.
Experience deploying and maintaining AI applications on cloud platforms such as AWS, Azure, or GCP.
Experienced in designing and architecting scalable, production-grade AI applications and intelligent automation solutions.
Skilled at integrating AI applications with enterprise APIs and external tools for real-world business problem solving.
Comfortable working in an Agile, Behavior & Test-Driven Development environment with a focus on continuous learning and evaluation of emerging AI technologies.