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Job Title: Software Engineer (Full Stack AI / Agentic Systems)
Location: Charlotte, NC (300 S Brevard St Hybrid, 3 days onsite)
Duration: 18-month contract (high likelihood of extension/conversion)
Rate: Competitive W2 ONLY NO C2C
Overview
Seeking a
Full Stack Software Engineer to support development of an
enterprise AI platform focused on accelerating AI adoption across the organization. This team builds
reusable AI components, agent-based systems, and rapid AI solutions for multiple business lines.
Open to
early-career candidates or new grads with strong fundamentals, hands-on experimentation, and genuine interest in
AI/LLM technologies.
Key Responsibilities
- Design, develop, and maintain full stack applications (Java/Spring, React/Angular, Python)
- Build and support AI-powered applications and enterprise AI platform components
- Contribute to agentic architectures and multi-agent orchestration solutions
- Develop, test, debug, and document scalable software solutions
- Collaborate with cross-functional teams to deliver AI-enabled features
- Participate in rapid prototyping and solution development for AI use cases
- Support best practices, code quality, and technical standards
- Analyze and resolve complex technical challenges
Required Qualifications
- 4 5+ years of software engineering experience (or strong early-career equivalent)
- Strong experience with Java/Spring development
- Frontend experience with React and/or Angular
- Experience with Python development
- Exposure to AI/LLM concepts, tools, or experimentation
- Understanding of software development lifecycle and engineering best practices
- Strong problem-solving and communication skills
Preferred Qualifications
- Experience with LangGraph or similar orchestration frameworks
- Exposure to multi-agent systems or agentic architectures
- Experience with Kafka, S3, Dremio, Vault, or PySpark
- Cloud experience (AWS, Azure, or Google Cloud Platform)
- Experience building AI-powered tools, chatbots, or automation workflows
- Agile/Scrum experience
- Background in financial services or regulated environments
What We Re Looking For
- Engineers with AI curiosity + hands-on experimentation (projects, GitHub, etc.)
- Strong full stack foundation with ability to learn quickly
- Candidates who can bridge traditional development with emerging AI technologies
- Self-starters who thrive in a fast-paced, innovation-driven environment
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