LLM AI Engineer Needed for FinTech Platform Integration & Secure AI Features

We are seeking an experienced LLM AI Engineer to build and integrate AI-driven features into our FinTech platform. You will be responsible for creating secure, compliant, and highly reliable LLM workflows that handle sensitive financial data, user inquiries, and automated workflows. Key Responsibilities: Architect and deploy FinTech-focused LLM features using OpenAI, Gemini, or self-hosted models. Implement strict data security guardrails, PII redacting/masking pipelines, and compliance controls (SOC2, GDPR, PCI-DSS compliance awareness). Build robust Retrieval-Augmented Generation (RAG) pipelines for financial knowledge bases, transaction analysis, or support documentation. Integrate LLM endpoints with existing financial backends, databases, and third-party APIs via Python/TypeScript. Optimize for sub-second latency, low error rates, and structured JSON outputs for core financial operations. Requirements & Qualifications: Direct experience building AI solutions within FinTech, banking, or corporate finance domains. Strong background in Python, FastAPI/Node.js, and cloud infrastructure (AWS/GCP). Deep understanding of vector databases (Pinecone, Qdrant, Weaviate), embeddings, and semantic search for financial data. Proven track record of handling sensitive customer data with strict privacy protocols. Portfolio or past projects demonstrating production-grade FinTech or SaaS integrations.