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Agentic AI Engineer - Banking, Accounting Finance - Analysts

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: MassGenics, Inc.
Full Time position
Listed on 2026-10-02
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 70 - 78 USD Hourly USD 70.00 78.00 HOUR
Job Description & How to Apply Below
Agentic AI Engineer - Banking, Accounting, & Finance

Job  Charlotte , North Carolina Job Type: Contract Added - 2 days ago

Job Description

A client of Innova Solutions is immediately hiring for an Agentic AI Engineer
Position type:
Full-time, Contract (W2)

Duration: 12+ months
Location:
Charlotte, NC/ Irving, TX – 5 days onsite

As an Agentic AI Engineer
, you will:
Day-to-Day Responsibilities

  • Design, code, test, debug, and document applications and services including upgrades and deployments.
  • Review technical challenges that require in depth evaluation of technologies, procedures, and engineering approaches
  • Resolve moderately complex issues while guiding teams to meet existing and emerging business needs
  • Collaborate with peers, colleagues, and mid-level managers to resolve technical challenges and meet project goals
  • Lead projects and act as an escalation point, providing direction to less experienced engineers
  • Design, develop, and deploy AI applications using enterprise APIs, LLMs, agent frameworks, and related technologies
  • Implement prompt engineering, retrieval augmented generation, fine tuning, and agentic design patterns
  • Integrate LLM models with existing enterprise systems and ensure that AI solutions meet governance, security, and compliance standards
  • Troubleshoot complex application and model related issues and contribute to the continuous improvement of AI systems
  • Assist and mentor engineers in advanced software development and AI engineering practices
  • Stay informed of advancements in AI, LLMs, and agent frameworks and apply relevant updates to products and systems.

As an Agentic AI Engineer
, you will:
Day-to-Day Responsibilities

  • Design, code, test, debug, and document applications and services including upgrades and deployments.
  • Review technical challenges that require in depth evaluation of technologies, procedures, and engineering approaches
  • Resolve moderately complex issues while guiding teams to meet existing and emerging business needs
  • Collaborate with peers, colleagues, and mid-level managers to resolve technical challenges and meet project goals
  • Lead projects and act as an escalation point, providing direction to less experienced engineers
  • Design, develop, and deploy AI applications using enterprise APIs, LLMs, agent frameworks, and related technologies
  • Implement prompt engineering, retrieval augmented generation, fine tuning, and agentic design patterns
  • Integrate LLM models with existing enterprise systems and ensure that AI solutions meet governance, security, and compliance standards
  • Troubleshoot complex application and model related issues and contribute to the continuous improvement of AI systems
  • Assist and mentor engineers in advanced software development and AI engineering practices
  • Stay informed of advancements in AI, LLMs, and agent frameworks and apply relevant updates to products and systems.
The ideal candidate will have:
  • Experience in agentic automated applications and Agentic Engineering.
  • Microsoft Power Platform (Power Apps Power Automate, PVA, Power BI), UI Path
  • AI SDLC experience (DEVI AI, Claude Code, Claude Design), Lang chain (or any other Agentic framework)
  • Alteryx (Data transformation and automation), IDP (intelligent document processing), Microsoft Co-Pilot Studio
  • Agentic AI (Hands on experience on Gitogenin/Vertex AI)
  • Experience in software engineering experience or equivalent through a combination of work experience, training, military service and Generative AI, large language models, or foundation models.
  • Experience with either GCP, Azure, Kubernetes, or Open Shift and Python.
  • Experience with REST API development and containerization technologies such as Docker and Kubernetes.
  • Experience using Git for source code version control, including branching, pull requests, and…
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