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

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