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Popular GenAI skillset, metro location, and broad mandatory skills create high applicant competition.
Highly specialized GenAI and deployment skills limit cross-industry transferability.
Numerous mandatory technical requirements (LLMs, RAG, vector DB, OpenShift, advanced SQL) make filtering highly strict.
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Design and build scalable Generative AI solutions using Python and LLM-based architectures such as RAG.
Develop and optimize RAG pipelines and build APIs to integrate structured and unstructured data sources.
Deploy solutions independently on OpenShift Container Platform (OCP) and take ownership from design through production.
Strong hands-on experience in Python with production-grade development.
Proficiency in building and deploying Generative AI/LLM-based solutions, including knowledge of RAG architecture and LLM frameworks like LangChain.
Advanced SQL skills with abilities in complex queries and performance optimization.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced Senior-level engineer capable of independently designing and delivering end-to-end GenAI solutions with minimal supervision.
Familiar with containerization and OCP deployments, indicating readiness for cloud-native and DevOps practices.
Comfortable working in domains involving advanced AI technologies, API development, and database integrations.