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Metro mid-level AI role with known brand and generalist ML/cloud requirements increases candidate competition.
LLM-focused engineering is transferable across industries, but Claude specialization raises domain specificity.
Mandatory 5+ years, required Claude/LLM experience and leadership make hiring filters strict.
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Lead and mentor a team of AI engineers focused on developing AI-driven applications using Python and cloud technologies.
Design, develop, and maintain scalable AI applications utilizing microservices architecture and RESTful APIs.
Integrate and optimize large language models (LLMs) like Claude and implement RAG-based architectures to ensure optimal application performance.
Over 5 years of Python development experience with a focus on API development.
2-3 years of experience integrating large language models (LLMs), with mandatory experience using Claude.
Strong experience in cloud environments such as Azure, AWS, or GCP and microservice-based application deployment.
Proven leadership experience mentoring engineering teams; B.Tech/BE degree or higher.
Experienced AI engineer with hands-on skills in Python-based backend development and cloud-native applications.
Demonstrated ability to lead teams and manage AI application lifecycle integrating advanced AI/GenAI tools and LLMs.
Skilled in scalable microservices, API design, and monitoring performance in cloud environments, especially with expertise in Claude and RAG architectures.