Motion Recruitment Partners, LLC
Motion Recruitment Partners, LLC

Sr. Agentic AI/Automation Engineer

CHARLOTTE, NC, US • Posted 14 hours ago • Updated 2 hours ago
Contract W2
On-site
$53.56 - $58.7/hr
Fitment

Dice Job Match Score™

🤯 Applying directly to the forehead...

Job Details

Skills

  • LOS
  • Finance
  • Training
  • Military
  • Generative Artificial Intelligence (AI)
  • Large Language Models (LLMs)
  • Google Cloud Platform
  • Google Cloud
  • Microsoft Azure
  • Python
  • RESTful
  • Docker
  • Kubernetes
  • Git
  • Version Control
  • Cloud Security
  • Identity Management
  • Encryption
  • Network Security
  • Cloud Computing
  • Financial Services
  • IT Management
  • Open Source
  • Communication
  • Documentation
  • Workflow
  • Orchestration
  • Vector Databases
  • Elasticsearch
  • Machine Learning (ML)
  • Continuous Integration
  • Continuous Delivery
  • Caching
  • Cost Management
  • Software Engineering
  • Debugging
  • Evaluation
  • Collaboration
  • Prompt Engineering
  • Design Patterns
  • Regulatory Compliance
  • Continuous Improvement
  • Mentorship
  • Software Development
  • Artificial Intelligence

Summary

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

Required Skills & Experience
  • 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.
  • 4+ years of software engineering experience or equivalent through a combination of work experience, training, military service, or education
  • 2+ years of experience working with Generative AI, large language models, or foundation models
  • 2+ years of experience with either Google Cloud Platform, Azure, Kubernetes, or OpenShift
  • 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
Desired Skills & Experience
  • 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, OpenSearch, 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

What You Will Be Doing
  • 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 advancements in AI, LLMs, and agent frameworks and apply relevant updates to products and systems
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10105282
  • Position Id: 876851
  • Posted 14 hours ago
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