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Senior Software Engineer; Agentic AI

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Infosoft, Inc.
Full Time position
Listed on 2026-07-11
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Senior Developer, Cloud Engineer - Software, Software Engineer
Salary/Wage Range or Industry Benchmark: 75 USD Hourly USD 75.00 HOUR
Job Description & How to Apply Below
Position: Senior Software Engineer (Agentic AI)

Job Title: Senior Software Engineer (Agentic AI & Intelligent Automation)

Pay Rate: $75/HR

Duration: 12 months

Job Requisition: WF001001

Location: Charlotte, NC

We are looking for a Senior Software Engineer – (Agentic AI & Intelligent Automation)

Job Description About this role
  • Client is seeking a Senior Software Engineer in Technology as part of Consumer Intelligent Automation and AI.
  • The CIA team is building a new Agentic Engineering group, and the client is looking for talented Senior Software Engineers to serve as key contributors to innovative, enterprise-grade AI products.
  • This is an opportunity to work on advanced technologies that will impact millions of customers and shape the future of financial services.
Project Summary
  • As a Senior Software Engineer, candidates will design, develop, test, and deploy sophisticated Generative AI applications.
  • Candidates will work within a dedicated engineering pod, partnering with technical leaders to translate architectural designs into robust, scalable, and secure software.
  • This role requires hands‑on development experience and a strong interest in solving complex technical problems using modern AI capabilities.
In this role, candidates will
  • Lead moderately complex initiatives and deliverables within technical engineering environments
  • Contribute to large‑scale planning of strategies across Consumer Technology
  • Design, code, test, debug, and document applications and services, including upgrades and deployments
  • Review technical challenges that require an 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
Required Qualifications
  • 4 plus years of software engineering experience or equivalent through a combination of work experience, training, military service, or education
  • 2 plus years of experience working with Generative AI, large language models, or foundation models
  • 2 plus years of experience with either GCP, Azure, Kubernetes, or Open Shift
  • 2 plus years of experience with Python
  • 2 plus years of experience with REST API development and containerization technologies such as Docker and Kubernetes
  • 2 plus years of experience using Git for source code version control, including branching, pull requests, and collaborative development workflows
Desired Qualifications
  • Understanding of cloud security principles, including identity and access management, encryption, and network security in public or hybrid cloud environments
  • Experience working in highly regulated industries such as financial services
  • Experience as a technical lead or architect, including mentoring senior engineers
  • Experience integrating or contributing to open source AI or ML projects
  • Experience integrating applications with enterprise data platforms, APIs, and secure data pipelines
  • Strong communication and documentation skills to collaborate across engineering, product, and oversight teams
Preferred Skills and Experience
  • Experience with Power Platform, including Power Apps and Dataverse
  • Experience with UiPath or other enterprise automation tools
  • Experience with LLM development using OpenAI, Anthropic, or Google Gemini models
  • Experience with agentic frameworks and AI workflow orchestration
  • Experience designing applications that incorporate…
Position Requirements
10+ Years work experience
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