Key skills
PythonAIMachine LearningGenerative AIGenAILLMLarge Language ModelsLlamaLangChainLlamaIndexAgenticLangGraphSparkKafkaHadoopAngularFastAPIPhoenixWebSocketsMongoDBRedisNeo4jLeadershipStakeholder ManagementRisk ManagementCommunicationCollaboration
About this role
Job Role: Gen AI Engineer
Loc: Charlotte, NC (Locals or around- Hybrid)
Duration: Long Term
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