Location: Charlotte, NC
Salary: $69.00 USD Hourly - $74.00 USD Hourly
Description: Software Engineer, Generative AI & Agentic SystemsLocations: Raleigh, NC; Charlotte, NC; Irving, TX
Work Model: Hybrid (3 days onsite required)
Duration: 12-month contract (potential extension or conversion)
About the RoleWe're looking for a
Software Engineer to help design and deliver next-generation
agentic AI solutions that transform business operations. In this role, you will prototype and productionize AI-driven applications that leverage large language models (LLMs) and emerging agent frameworks to solve complex enterprise problems.
You'll work in a fast-paced, innovation-focused environment where rapid iteration is key-regularly developing demos and proof-of-concepts that showcase the future of AI-driven business capabilities.
What You'll Do- Design, build, and prototype agent-based AI solutions using modern frameworks (e.g., LangChain, ADK, or similar)
- Develop high-quality, scalable applications using Python as the primary language
- Rapidly iterate on AI concepts, delivering weekly demos and technical presentations
- Collaborate with cross-functional engineering teams to integrate AI solutions into enterprise systems
- Apply MLOps and LLMOps practices to manage model lifecycle and deployment
- Ensure solutions meet security, scalability, and compliance standards, especially when handling sensitive data
- Contribute to system architecture, code reviews, and SDLC best practices
- Identify opportunities to apply AI to real-world business challenges and drive innovation agendas
- Work across multiple concurrent prototypes and initiatives (not limited to a single project lifecycle)
Minimum Qualifications- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
- 5-10 years of software engineering experience
- 2+ years of hands-on experience with Python development
- Experience building and deploying applications using modern software development lifecycle (SDLC) practices
- Familiarity with generative AI concepts, including agent-based architectures or RAG systems
- Experience working in collaborative engineering environments (branching, merging, code reviews)
Preferred Qualifications- Experience with agent frameworks (LangChain, AutoGen, ADK, or similar)
- Knowledge of multi-cloud environments (Azure, Google Cloud Platform, OpenShift) and cloud-native development
- Background in MLOps / LLMOps workflows
- Experience in highly regulated environments such as financial services
- Strong understanding of cybersecurity principles and secure development practices
- Experience working with sensitive or protected data (e.g., DII or similar)
- AI-related certifications (Google, AWS) or advanced education in AI/ML (preferred but not required)
- Demonstrated ability to translate emerging technologies into practical business solutions
What Sets You Apart- You thrive in rapid prototyping environments and enjoy building tangible demos
- You are comfortable presenting ideas and influencing stakeholders with technical concepts
- You are curious, forward-thinking, and energized by applying cutting-edge AI technologies
- You balance innovation with engineering rigor and security awareness
- You enjoy working across teams and contributing to shared technical goals
Team & CultureYou'll join a highly collaborative team focused on
forward-deployed engineering, working at the forefront of enterprise AI adoption. The team regularly experiments with emerging technologies and applies them to real-world business challenges.
This is a high-visibility role with opportunities to influence strategic direction and showcase innovative AI solutions to leadership.
Additional Information- This is a net-new position
- Candidates must follow submission guidelines (resumes submitted through official channels only)
- Direct outreach to hiring managers is not permitted during the hiring process
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