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Tier-1 brand, mid-level generalist ML/software role in metro increases candidate competition.
Core ML/backend production skills transfer across industries, though financial services risk/governance experience adds preference.
Explicit 3+ years requirement plus mandatory Java/Python, cloud, and production AI experience increases filter strictness.
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Design and deliver production-grade backend services and AI-enabled workflows integrating LLM/prompt capabilities with strong guardrails, observability, and governance.
Build and operate resilient APIs and manage data persistence layers applying distributed systems, event-driven processing, and scalable vector search/embedding solutions.
Develop intuitive front-end experiences using React and implement CI/CD pipelines for reliable, repeatable delivery and production readiness.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience.
Minimum 3 years of hands-on software engineering experience delivering production systems.
Strong backend development skills in Java and/or Python; experience with distributed systems and API contract management.
Familiarity with AWS cloud services and CI/CD/release automation practices.
Experience integrating AI/LLM functionality into enterprise applications with guardrails, fallback, and monitoring.
Familiarity with vector search/embedding technologies (e.g., pgvector) and retrieval-augmented generation (RAG) architectures.
Comfort working in regulated environments such as financial services, with exposure to risk, controls, audit, or SRE operational practices.