Job Description

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: $55-65/Hr 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 GCP)
• 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