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Tier-1 brand, metro location, mid-level AI title, and broad LLM/cloud requirements drive high competition.
High — specialized agentic LLM production and regulated fintech experience make background fit sensitive.
Numerous mandatory production-ML, LLM, cloud, and regulatory requirements make shortlisting highly strict.
Design, build, and ship production-grade LLM-powered and agentic AI product features impacting financial management for customers.
Architect and implement retrieval-augmented generation (RAG) pipelines over sensitive financial data with strict correctness, auditability, and safety requirements.
Own production AI systems for reliability, latency, cost, and failure modes; contribute to shared AI infrastructure and tooling at enterprise scale.
5+ years of software engineering experience with meaningful production experience in LLMs or applied ML systems.
Hands-on experience with LLM tooling, agentic AI patterns, and AI-assisted development workflows.
Strong engineering fundamentals in backend systems, APIs, data pipelines, cloud infrastructure (AWS/GCP, Kubernetes).
Work Experience Required: 5+ years in software engineering; specialized experience in AI/ML production systems.
Experience building agentic AI systems in fintech or regulated industries with high reliability and safety requirements.
Proven track record of shipping AI-powered or agentic systems that real users depend on in regulated or high-growth environments.
Strong product mindset with ability to operate under ambiguity and turn concepts into reliable, customer-facing products.