W2 Position! Gen AI Engineer, Charlotte, NC (Hybrid)- F2F Interview for final round

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Prohires, is seeking the following. Apply via Dice today! Job Role: Gen AI Engineer Loc: Charlotte, NC (Locals or around- Hybrid) Duration: Long Term W2/1099 Position! Final round In Person Interview Must! Overview: We are seeking a hands-on AI Engineer to work on a high-visibility Generative AI initiative focused on enterprise-scale document summarization and conversational AI. The platform will support large volumes of heterogeneous documents across multiple lines of business (LOBs). This role is ideal for a self-starter with deep technical expertise, strong leadership capabilities, and the ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders. Responsibilities: • Lead the design, development, and implementation of complex data and AI applications, often leveraging emerging and cutting-edge technologies • Architect and deliver enterprise-scale GenAI solutions, including summarization engines and chatbot applications • Apply sound judgment in selecting methods, tools, and evaluation criteria within broadly defined practices and policies • Provide technical leadership by owning deliverables, assigning work, and resolving complex technical issues • Translate business strategy and requirements into actionable technical solutions • Ensure solutions comply with model governance and risk management standards • Collaborate effectively with business stakeholders, IT partners, and external vendors Required Skills: • Bachelor’s or advanced degree in Information Systems, IT, or related field (or equivalent experience) • 10+ years of overall IT experience, including leadership on complex enterprise initiatives • Strong written and verbal communication skills with the ability to clearly explain technical concepts • 2+ years of hands-on experience delivering end-to-end Generative AI solutions • Experience with Large Language Models (LLMs) such as GPT and LLaMA • Expertise in MCP (skills-based orchestration) and agentic frameworks like LangGraph • Proficiency with LLM frameworks including LangChain and LlamaIndex • Experience with embedding models (e.g., all-MiniLM-L6-v2, nomic-ai) • Familiarity with evaluation frameworks such as RAGAS, LangSmith, and Phoenix/Arize • Strong experience building APIs using REST, FastAPI, and WebSockets • Hands-on experience with enterprise data stores like Redis and MongoDB • Advanced Python programming skills • Frontend experience with Angular is a plus • Hands-on experience with Model Risk Management and governance frameworks • Experience delivering GenAI solutions aligned with governance and compliance standards • Ability to author detailed model documentation • Experience designing and implementing model monitoring and performance controls • Exposure to distributed and big data technologies (Slurm, Hadoop/Hive, Spark, Kafka, Neo4j, MongoDB) • Understanding of machine learning techniques, classifiers, and statistical methods • Advanced degree or equivalent experience in data science, mathematics, or a quantitative field • Proven track record delivering high-value enterprise projects with clear cost, benefit, and risk articulation • Strong collaboration, coaching, and stakeholder management skills across business and IT teams • Passion for leveraging modern AI technologies to drive innovation, particularly in the finance domain