Al Developer Agentic Al Engineer

Position: Al Developer / Agentic Al Engineer- 12 Positions

Location: Charlotte NC

Interview Process: F2F Required at Charlotte NC

Our challenge:

• Candidate will be building an agentic Al platform to transform commercial banking customer service. The Al 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 too/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 Al capabilities for regulated financial services Responsibilities.

The Role

Responsibilities:

Agentic Al Solution Development

• Build and enhance LLM/agent orchestration (Planner/supervisor patterns tool-using agents routing guardrails).
• Implement intent classification information extraction validation and decision logic for servicing workflows
• Developed tool calling integrations to downstream systems (CRM workflow engine core banking services case management)
• Implement human-in-the-loop workflows (review approval escalation override) based on confidence/risk thresholds.

Knowledge and grounding (RAG)

• Design and implement retrieval-augmented generation (RAG) for policy procedure grounding and resolution guidance.
• Build knowledge ingestion pipelines with refresh/versioning.
• Improve answer quality via chunking strategies embeddings re ranking and context management.

Quality Safety and Evaluation

• Define and run evaluation frameworks: golden datasets scenario tests regression tests and automated scoring.
• Reduce hallucinations and risk by implementing prompt policies constraints structured outputs and verification steps.
• Partner with risk slash compliance to ensure traceability audit logs explain ability requirements are met.

Production Readiness and Operations

• Implement observability for agents (latency cost tool failures drift quality signals escalation rates).
• Support CI/CD for agent prompts and configurations (versioning approvals rollback).
• Collaborate with platform and security teams on secrets management access controls PIl protections and safe deployments.

Requirements:

• 4 years of software engineering experience or equivalent with strong CS fundamentals
• Hands-on experience building with LLMs and modern Al app stack (agents RAG tool/function calling).
• Strong proficiency in Python and building back-end services/APls.
• 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 )
• Experience deploying services in cloud environments (AWS/Azure/GP) with basic DevOps practices
• Strong understanding of security and privacy principles (PIl handling least privilege audit logging).

Preferred:

but not required:

• 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)