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)