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Tier-1 brand, hot GenAI role, metro location, and mid-level experience create high applicant competition.
Core GenAI engineering skills transferable, but enterprise integration and production experience increase domain specificity.
Explicit 5+ years, 2+ years GenAI plus mandatory RAG/LLM/Python skills make filtering strict.
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Build and support production-ready Generative AI solutions including RAG-based assistants and agentic workflows integrated with enterprise data and applications.
Translate solution designs into secure, scalable implementations with strong engineering practices, observability, and reusable components.
Implement LLM-based features, RAG pipelines, and agentic automations while ensuring enterprise integration and quality monitoring for stable production behavior.
5+ years total IT/software engineering experience including enterprise applications, APIs, and services.
2+ years hands-on AI/ML/Generative AI experience building or supporting AI solutions.
Strong Python programming skills with ability to build services, scripts, and automation.
Experience with LLM APIs/providers, RAG framework (vector DB + retrieval + grounding), agentic AI patterns, and solid engineering fundamentals (APIs, version control, testing, secure coding).
Experienced engineer capable of translating complex AI solution designs into scalable, secure production code with reusable components.
Familiar with enterprise integration, including API authentication and compliance with engineering standards relevant to regulated environments.
Comfortable working collaboratively with architects, product owners, and operational teams to deliver high-quality AI solutions and continuously monitor production systems.