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Job Title: Senior Software Engineer (GenAI)
Contract Length: 6+ Months
Location: CHARLOTTE NC 28202
On Site Work
Ref# 246440
Seeking a Senior Software Engineer to join a Consumer Intelligent Automation & AI engineering team focused on building enterprise-grade Agentic AI solutions. This role involves hands-on development of scalable Generative AI applications that support large-scale enterprise initiatives within a highly regulated environment.
The ideal candidate will have strong software engineering fundamentals, experience with Generative AI and large language models, cloud-native development experience, and the ability to build secure, scalable AI-powered applications integrated with enterprise systems.
Key Responsibilities
- Lead moderately complex initiatives and technical deliverables within engineering environments
- Contribute to large-scale technology planning and engineering strategy initiatives
- Design, develop, test, debug, document, and deploy applications and services
- Review and evaluate technical challenges involving engineering methodologies and technologies
- Resolve moderately complex technical issues and support evolving business requirements
- Collaborate with engineering teams, product teams, and technical leadership
- Lead projects and provide guidance to less experienced engineers
- Design, develop, and deploy AI applications using:
- Enterprise APIs
- Large language models (LLMs)
- Agent frameworks
- AI orchestration technologies
- Implement:
- Prompt engineering
- Retrieval augmented generation (RAG)
- Fine-tuning
- Agentic AI design patterns
- Integrate AI models and services into enterprise systems
- Ensure AI applications meet governance, compliance, and security requirements
- Troubleshoot application and model-related issues
- Mentor engineers on software engineering and AI development best practices
- Stay current with advancements in AI, LLMs, and agentic frameworks
Required Qualifications
- 4+ years of software engineering experience or equivalent combination of education, training, military service, or work experience
- 2+ years of experience working with:
- Generative AI
- Large language models (LLMs)
- Foundation models
- 2+ years of experience with at least one of the following:
- Google Cloud Platform (Google Cloud Platform)
- Microsoft Azure
- Kubernetes
- OpenShift
- 2+ years of Python development experience
- 2+ years of experience with:
- REST API development
- Docker
- Kubernetes
- 2+ years of experience using Git for:
- Branching
- Pull requests
- Collaborative development workflows
Desired Qualifications
- Understanding of cloud security principles including:
- Identity and access management
- Encryption
- Network security
- Experience working within regulated industries such as financial services
- Experience serving as a technical lead or architect
- Experience mentoring engineers
- Experience contributing to or integrating open-source AI/ML projects
- Experience integrating applications with:
- Enterprise APIs
- Data platforms
- Secure data pipelines
- Strong communication and technical documentation skills
Preferred Skills & Experience
- Power Platform experience including:
- UiPath or enterprise automation tools
- Experience working with:
- OpenAI
- Anthropic
- Google Gemini
- Experience with:
- Agentic frameworks
- AI workflow orchestration
- Retrieval augmented generation (RAG)
- Fine-tuning
- Structured prompting
- Experience with vector databases and retrieval systems such as:
- Elasticsearch
- OpenSearch
- Pinecone
- Weaviate
- Experience with:
- LLM evaluation
- AI observability
- Monitoring and drift detection
- AI safety assessments
- Familiarity with:
- Feature stores
- Model registries
- CI/CD pipelines for AI services
- Responsible AI and governance processes
- Experience optimizing AI application performance including:
- Prompt efficiency
- Model selection
- Caching
- Batching
- Cost management
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