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Tier-1 employer, mid-level requirement, and likely metro location increase applicant competition.
Specialized LLM and enterprise AI skills somewhat limit cross-industry transferability.
Many mandatory specialized ML/AI, infrastructure skills and a 5+ years requirement enforce strict filtering.
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Lead complex, companywide technology initiatives and develop engineering standards and best practices.
Design, code, test, debug, and review complex large-scale technology solutions aligned with strategic business objectives.
Collaborate with technical experts and lead projects or mentor teams to meet deliverables and drive AI and data engineering solutions.
5+ years of software engineering experience or equivalent demonstrated through work experience, training, military experience, or education.
Strong Python development skills including OOP, design patterns, multithreading, asynchronous programming, API development, scripting, and performance optimization.
Experience in data engineering, building scalable data pipelines, ETL/ELT, data processing with tools like Spark and Pandas.
Experience with generative AI, LLMs, LangChain, RAG, vector databases, cloud platforms (GCP), API development, microservices, and relevant AI enterprise solutions.
Experienced in leading large-scale AI and data engineering projects and establishing companywide engineering best practices.
Proficient in designing and deploying production-ready generative AI & LLM-based enterprise applications using advanced frameworks and vector databases.
Strong background in software engineering best practices, CI/CD, cloud-native architecture, and scalable AI/ML solution deployments.