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Mid-level, popular AI engineering role in metro markets attracts many applicants despite smaller company brand.
Role requires specialized LLM, RAG and AI agent skills, limiting cross-industry transferability.
Requires explicit 3+ years and specific LLM, RAG, embeddings, and cloud integration skills.
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Develop intelligent automation pipelines and autonomous AI workflows using Large Language Models (LLMs) and prompt engineering to solve complex business problems.
Modernize and transform legacy enterprise applications and workflows into AI-native solutions handling structured and unstructured data.
Design and deliver secure, scalable, production-ready AI applications integrating LLMs with enterprise systems, cloud platforms (preferably Azure), and databases while ensuring responsible AI governance.
Bachelor's degree in Computer Science, Artificial Intelligence, IT, Data Science, Engineering, or related field.
3+ years of experience in AI Engineering, Software Engineering, Machine Learning, or Generative AI.
Strong hands-on expertise with LLMs, Prompt Engineering, Retrieval-Augmented Generation (RAG), embeddings, vector databases, and AI agent frameworks such as LangChain or Semantic Kernel.
Proficiency in Python programming, REST APIs, and cloud platforms (preferably Azure) for AI service integration.
Experienced in building and deploying enterprise-grade AI solutions leveraging generative AI technologies and AI agent frameworks.
Skilled in transforming legacy systems and workflows into AI-driven automated processes using modern AI architectures.
Comfortable collaborating with cross-functional teams and stakeholders to identify AI adoption opportunities and deliver scalable, governed AI applications.