Jobs · Engineering · North Carolina

Forward Deployed Agentic AI Engineer

Staffing Spot, Inc. · Charlotte, NC · 1 wk ago
HybridEngineeringFull-time

Key Responsibilities

  • Collaborate with Operations SMEs and business stakeholders to understand and analyze current business processes and operational workflows.
  • Review process documentation, validate procedures, and identify opportunities for AI-driven workflow automation.
  • Design and develop Agentic AI solutions using modern LLM frameworks such as LangChain and LangGraph.
  • Create AI agent workflows, orchestration logic, decision-making pipelines, and Retrieval-Augmented Generation (RAG) applications.
  • Develop AI-powered document processing solutions using OCR and intelligent document extraction technologies.
  • Create workflow documentation, process maps, and technical design specifications for AI implementations.
  • Work with engineering teams to integrate AI solutions with enterprise APIs and business applications.
  • Monitor, evaluate, and optimize AI agent performance, ensuring scalability, reliability, and business value.
  • Support testing, validation, and continuous improvement of AI workflows and automation solutions.

Required Skills

  • Overall 10-12 years of IT experience.
  • Over 4 years into AI, Machine Learning, or Software Engineering.
  • At least 4 years of hands-on experience building and deploying Agentic AI applications in enterprise environments.
  • Experience translating business requirements into scalable AI solutions and working with cross-functional teams to deliver production-ready applications.
  • Strong programming skills in Python and SQL.
  • Hands-on experience with Agentic AI, Large Language Models (LLMs), RAG, Prompt Engineering, and Multi-Agent Systems.
  • Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, OpenAI, and Azure OpenAI.
  • Knowledge of vector databases such as Pinecone, FAISS, or ChromaDB.
  • Experience developing REST APIs and cloud-native AI applications on Azure, AWS, or GCP.
  • Familiarity with Docker, Kubernetes, Git, and CI/CD pipelines.
  • Excellent communication, analytical, and problem-solving skills.
  • Knowledge of banking operations such as loan origination, loan servicing, commercial lending, or operational workflow automation.
  • Experience in business process analysis, workflow mapping, and collaborating with Operations SMEs.
  • Exposure to Intelligent Document Processing (IDP), OCR, and enterprise workflow automation.

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