Sr. Agentic AI​/Automation Engineer

Sr. Agentic Ai/Automation Engineer

Charlotte, NC

Onsite

Contract

$53.56/hr - $58.7/hr

Outstanding long-term contract opportunity! A well-known financial services company is looking for a Sr. Agentic Software Engineer in Charlotte, NC or Los Colinas, TX (Onsite). Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age.

If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today. Contract Duration: 6 months with likely extensions

• 4+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
• 2+ years of experience working with generative AI, large language models, or foundation models
• 2+ years of experience with either GCP, Azure, Kubernetes, or Open Shift
• 2+ years of experience with Python
• 2+ years of experience with REST API development and containerization technologies such as Docker and Kubernetes
• 2+ years of experience using Git for source code version control, including branching, pull requests, and collaborative development workflows

• 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
• 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 retrieval augmented generation, fine tuning, and structured prompting
• Experience with vector databases and retrieval systems such as Elasticsearch, Open Search, Pinecone, or Weaviate
• Experience with LLM evaluation, observability, and monitoring including latency, cost, accuracy, grounding, drift detection, and safety assessments
• Familiarity with ML lifecycle tools and processes such as feature stores, model registries, and CI or CD pipelines for AI services
• Familiarity with responsible AI principles, compliance, and governance processes related to AI systems in regulated environments
• Experience optimizing AI application performance including prompt efficiency, model selection, caching, batching, and cost management

• Consult on or participate in moderately complex initiatives and deliverables within software engineering and contribute to large-scale planning related to software engineering deliverables.
• Review and analyze moderately complex software engineering challenges that require an in-depth evaluation of variable factors.
• Contribute to the resolution of moderately complex issues and consult with others to meet software engineering deliverables while leveraging solid understanding of the function, policies, procedures, and compliance requirements.
• Collaborate with client personnel in software engineering.
• 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 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…