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Tier-1 brand, metro location, mid-level generalist role with broad skillset increases applicant competition.
Requires ML/LLM engineering and enterprise backend skills, moderately transferable across industries.
Explicit 3+ years, mandatory Java/Python, cloud, distributed systems, and CI/CD requirements raise filter strictness.
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Design and deliver backend services and APIs embedding LLM-enabled workflows with strong guardrails, observability, and auditability at enterprise scale.
Implement and optimize AI/ML features such as retrieval-augmented generation (RAG), vector search/embedding solutions, and prompt-enabled automation workflows integrating approved enterprise data and APIs.
Build and maintain CI/CD pipelines, release automation, and robust testing strategies to ensure reliable, scalable, and operable production-grade applications with clear stakeholder communication.
Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience.
3+ years of hands-on software engineering experience delivering production backend services and APIs using Java and/or Python.
Experience with cloud-native development, particularly AWS services, and CI/CD/release automation.
Strong foundation in distributed systems, service design, API contract management, and production readiness including testing, reliability, and operational support.
Experienced in integrating AI/LLM functionalities into production enterprise applications with appropriate guardrails, monitoring, and observability.
Skilled in implementing modern AI retrieval architectures (e.g., RAG), vector search, and embedding technologies using frameworks like LangChain.
Comfortable working in regulated environments such as financial services, with familiarity in technology risk, controls, secure SDLC practices, and governance expectations.