Title: AI Engineer
Location: 550 S Tryon St Charlotte, NC
Duration: 12 months
Work Engagement: W2
Work Schedule: hybrid
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits
Summary:
We are seeking an experienced AI Engineer to design, develop, and deploy AI agents that automate business processes, enhance decision-making, and improve operational efficiency across collateral and lending workflows.
The ideal candidate has practical experience building agentic AI solutions, integrating AI into enterprise systems, and delivering production-ready applications in a regulated environment. Banking or financial services experience is strongly preferred.
Responsibilities:
Agent Development
- Design and implement AI agents and multi-step agentic workflows.
- Develop retrieval-augmented generation (RAG) solutions using enterprise knowledge sources.
- Integrate AI agents with internal applications, databases, and APIs.
- Monitor and improve agent accuracy, reliability, and performance.
AI Engineering
- Build production-grade applications using large language models.
- Develop reusable prompts, workflows, and AI components.
- Collaborate with business and technology teams to identify and implement AI use cases.
- Support deployment, testing, and operationalization of AI solutions.
Governance & Risk
- Ensure AI solutions comply with security, privacy, and governance requirements.
- Implement monitoring, traceability, and responsible AI controls.
- Participate in model governance and validation activities.
Qualifications:
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Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
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5+ years of experience in software engineering, data engineering, machine learning, artificial intelligence, or related technical disciplines.
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2+ years of hands-on experience developing Generative AI solutions.
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Proven experience designing, building, and deploying AI agents or agentic workflows.
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Strong Python development experience.
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Strong SQL and data querying skills.
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Experience working with Large Language Models (LLMs) and related AI technologies.
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Experience building APIs and integrating enterprise applications and data sources.
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Experience with source control tools such as Git and modern software development practices.
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Strong problem-solving, analytical, and solution-design capabilities.
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Excellent communication and stakeholder management skills.
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Banking, Commercial Lending, Financial Services, or Collateral Management experience. (preferred)
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Experience with agent frameworks such as:
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LangChain
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LangGraph
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CrewAI
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AutoGen
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Similar agentic AI platforms
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Experience designing and implementing RAG architectures.
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Knowledge of data governance, metadata management, and data quality frameworks.
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Exposure to semantic technologies, including:
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Ontologies
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Knowledge Graphs
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RDF
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OWL
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Experience supporting AI solutions in highly regulated environments.