S3 logo

Senior Software Engineer (GenAI)

S3
4 days ago
Contract
On-site
Charlotte, North Carolina, United States
Generative AI

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