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Agentic AI Engineer Banking​/Domain

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Data Freelance Hub
Full Time position
Listed on 2026-02-18
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 50 - 60 USD Hourly USD 50.00 60.00 HOUR
Job Description & How to Apply Below
Position: Agentic AI Engineer with Banking/Payment Domain

Agentic AI Engineer with Banking/Payment Domain

⭐ - Featured Role | Apply direct with Data Freelance Hub

This role is for an Agentic AI Engineer specializing in the Banking/Payment domain, offering a contract length of unspecified duration and a pay rate of $50.00 - $60.00 per hour. Key skills include Python, machine learning, and big data technologies.

Location:

Charlotte, NC 28217 (Hybrid remote)

Job Overview

We are seeking a highly skilled Agentic AI Engineer specializing in the Banking and Payment domain to join our innovative team. The role involves developing, deploying, and optimizing advanced AI models to enhance financial services, payment processing, and customer experience. The ideal candidate will leverage expertise in machine learning frameworks, big data technologies, and natural language processing to drive intelligent solutions that meet the evolving needs of the banking industry.

Responsibilities
  • Design, develop, and implement machine learning models tailored for banking and payment systems using frameworks such as Tensor Flow and other AI tools.
  • Lead model training, validation, and deployment processes to ensure scalable and reliable AI solutions.
  • Utilize big data technologies including Hadoop, Spark, and ETL tools like Talend to manage large datasets effectively.
  • Perform data mining and analytics to extract actionable insights from complex financial data sources.
  • Develop database schemas and optimize database design for efficient data storage and retrieval.
  • Integrate natural language processing capabilities to enhance customer interactions and automate banking operations.
  • Collaborate with cross-functional teams to develop APIs and microservices for seamless integration of AI models into existing banking platforms.
  • Maintain expertise in emerging technologies such as quantum engineering and linked data to innovate solutions in the financial sector.
  • Ensure model deployment adheres to best practices for security, compliance, and performance across cloud environments like AWS.
  • Document processes, create technical specifications, and provide ongoing support for deployed AI systems.
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:
    Lang Chain / Lang Graph, Llama Index, Semantic Kernel or equivalent frameworks.
  • Experience with vector databases and search (e.g., Pinecone, Weaviate, Milvus, Open Search / Elastic).
  • Experience deploying services in cloud environments (AWS/ Azure/ GCP) with basic Dev Ops 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).
  • 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.
  • Bachelor’s or higher degree in Computer Science, Data Science, Engineering or related fields; relevant certifications are advantageous.
Pay & Requirements
  • Pay: $50.00 - $60.00 per hour.
  • Experience:

    Agentic AI: 4 years (Required), Python: 2 years (Required), Banking / Payment Domain: 2 years (Required).
  • Location:

    Charlotte, NC 28217 (Required).
  • Ability to commute:
    Charlotte, NC (Required).
  • Work Location:

    Hybrid remote in Charlotte, NC 28217.

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