Senior Software Engineer (GenAI)

Strategic Staffing Solutions

Charlotte, NC

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JOB DETAILS

SKILLS

Application Programming Interface (API), Artificial Intelligence (AI), Automation, Best Practices, Caching, Cloud Computing, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, Cost Control, Cryptography, Data Management, Debugging Skills, Design Patterns Programming Methodologies, Docker, Elasticsearch, Finance, Financial Services, GCP (Good Clinical Practices), Git, Identity Data Management, Information/Data Security (InfoSec), Mentoring, Microsoft Windows Azure, Modeling Languages, Network Security, Open Source, People Management, Performance Tuning/Optimization, Problem Solving Skills, Python Programming/Scripting Language, REST (Representational State Transfer), Recruiting Strategy, Scalable System Development, Software Engineering, Strategic Planning, Team Player, Technical Analysis, Technical Delivery, Technical Leadership, Technical Support, Technical Writing, Test Plan/Schedule

LOCATION

Charlotte, NC

POSTED

6 days ago

Job Description

STRATEGIC STAFFING SOLUTIONS HAS AN OPENING!

This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position. Visa Sponsorship is Available! The details are below.

"Beware of scams. S3 never asks for money during its onboarding process."

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 (GCP)
- 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:
- Power Apps
- Dataverse
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

About the Company

Strategic Staffing Solutions

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