Senior Software Engineer

Description

Title:

Senior Software Engineer

Location:

Charlotte, NC

Duration: 6 months

Work Engagement: W2

Work Schedule:

On-site

Benefits on offer for this contract position:
Health Insurance, Life insurance, 401K and Voluntary Benefits

Summary:

In this contingent resource assignment, you may:
Consult on complex initiatives with broad impact and large-scale planning for Software Engineering. Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables.

Strategically collaborate and consult with client personnel.

Required Qualifications:

Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.

Key Responsibilities:

* 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

Key Requirements:

* Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.

* Software engineering experience or equivalent through a combination of work experience, training, military service, or education

* Experience working with Generative AI, large language models, or foundation models

* Experience with either GCP, Azure, Kubernetes, or Open Shift

* Experience with 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 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 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