Agentic AI Engineer

Job Description:Role SummaryWe are building an agentic AI platform to transform commercial banking customer service. The AI developer will design, build, and operate LLM-powered agents that interpret inbound servicing requests (e.g., email / case intake), retrieve grounded knowledge, and execute approved workflows through secure tool/API integrations - with enterprise-grade controls, observability, and human-in-the-loop patterns.This role sits within a cross-functional team with Product, Operations, Technology, and Risk partners and focuses on delivering production-ready agentic AI capabilities for regulated financial services

Required Qualifications 4+ years of software engineering experience or equivalent with strong CS fundamentals Hands-on experience building with LLMs and modern AI app stack (agents, RAG, tool/function calling). Strong proficiency in Python and building back-end services/APIs. Experience with at least one: LangChain / LangGraph, Llamalndex, Semantic Kernel or equivalent frameworks. Experience with vector databases and search (e.g., Pinecone, Weaviate, Milvus, OpenSearch/Elastic, pgvector) Experience deploying services in cloud environments (AWS/Azure/GCP) with basic DevOps practices Strong understanding of security and privacy principles (PII handling, least privilege, audit logging)Preferred Qualifications Experience in financial services or other regulated domains (risk controls, compliance audit readiness) Experience integrating with enterprise workflows (e.g., ServiceNow, Custom workflow engines, BPM/RPA) Familiarity with model evaluation approaches (LLM-as-judge, rubric scoring, retrieval evals, offline/online testing) Experience with messaging/eventing (Kafka/SQS), email ingestion pipelines, and document processing Exposure to MRM concerns and governance (model cards, risk assessments, validation processes)