AI Engineer - GenAI / Agentic Systems/Charlotte, NC or Dallas, TX(onsite)

A client of Innova Solutions is immediately hiring for a Senior AI / GenAI Solutions Engineer (Python, LangGraph & Agentic Workflows) Title: Senior AI / GenAI Solutions Engineer (Python, LangGraph & Agentic Workflows) Position type: Full Time Contract Duration: 19 Months Location: Charlotte NC (Hybrid) Senior AI / GenAI Solutions Engineer, You will: Develop and deploy multi-agent systems and intelligent workflows using Python, LangGraph, and LangChain to handle complex intent classification,

Role: AI Developer Location: Charlotte, NC Onsite Contract Job Description: Skills: Strong hands-on experience developing applications using Python Experience building backend services and Rest APIs using FASTAPI or a comparable Python framework Experience with MongoDB or another document-oriented database Experience integrating applications with APIs, databases and object-storage services Understanding of ReactJS and modern front-end development concepts. Practical experie

Our challenge We are seeking an experienced .NET Full Stack Developer with strong expertise in Angular, Python, and AI application development using LangGraph/LangChain frameworks. The ideal candidate will be responsible for designing, developing, and deploying scalable enterprise applications while integrating AI-driven solutions and agentic workflows. This role requires hands-on experience across front-end, back-end, cloud technologies, API development, and modern AI frameworks.The RoleRespons

Job Description A large enterprise organization is hiring an AI Prompt Engineer to join a GenAI security research and development team in Charlotte. This team is focused on cybersecurity assessment and SAST/DAST scanning of frontier AI models, using advanced prompting techniques to identify vulnerabilities, security weaknesses, and potentially malicious behavior. In this role, you will develop complex, context-aware AI prompts and prompting harnesses used for cyber defense testing. You will appl