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Mid-level AI engineer with broad LLM and cloud requirements attracts high applicant competition.
Requires specialized generative AI, RAG, and enterprise data platform experience, limiting cross-industry transferability.
Explicit 6+ years plus mandatory LLM, cloud, and engineering expertise creates strict shortlisting.
Lead design, development, and deployment of enterprise AI solutions using Large Language Models (LLMs), Agentic AI, and cloud-native technologies.
Build scalable AI services, including AI assistants and copilots, to accelerate software development and operational workflows.
Collaborate across teams to identify high-value AI use cases and establish best practices for AI governance, evaluation, and responsible adoption.
Bachelor's or Master's degree in Computer Science, Software Engineering, AI, Data Science, or related field.
6+ years of professional software engineering experience with hands-on AI solution delivery.
Proven expertise in Generative AI, LLM integration, RAG, AI Agents, cloud-native applications, and enterprise data platforms.
Strong programming skills in Python, SQL, REST APIs, and experience with Java or .NET.
Experience working with enterprise data management platforms like Databricks, Spark, AWS, and cloud storage solutions (Amazon S3, vector databases).
Demonstrated ability to design and operate scalable, distributed AI systems using frameworks such as LangChain, LangGraph, LlamaIndex, or Hugging Face.
Comfortable driving AI strategy within a multi-disciplinary team environment, with skills in technical leadership, mentoring, and communicating complex AI concepts to diverse stakeholders.