Sr Gen AI Engineer/ Agentic Systems-Charlotte, NC & Dallas, TX --- Onsite Role-Need Locals -W2 Role

Charlotte, NC, US • Posted 2 hours ago • Updated 2 hours ago

Contract W2

On-site

Depends on Experience

Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

AI
Artificial Intelligence
GenAI
LLM
Agentic AI
RAG
GraphRAG
LangChain
Python
FastAPI
AWS
Azure
GCP
Vector Database
Embeddings
Knowledge Graph
LLMOps
MLOps
Prompt Engineering
LangSmith
Ragas

Summary

Title: Sr Gen AI Engineer/ Agentic Systems

Location: Charlotte, NC & Dallas, TX --- Onsite Role

Duration: Longterm

Note: Onsite Interview

JD:

Responsibilities

Build GenAI applications leveraging foundation models and advanced architectures such as GraphRAG.
Develop autonomous AI agents using modern agentic frameworks.
Design and deploy RAG and GenAI services using Python (FastAPI), Docker, and cloud platforms (AWS, Azure, or Google Cloud Platform).
Build scalable REST APIs that power LLM-driven applications integrated with enterprise data sources.
Implement LLM evaluation frameworks using tools such as Ragas, LangSmith, or custom benchmarks to measure answer relevance, groundedness, and hallucination rates.
Apply LLMOps/MLOps practices, including CI/CD pipelines, prompt/version management, automated testing, and monitoring of latency, cost, and response quality.
Develop systems leveraging embeddings at scale, knowledge graphs, and ontology extraction.
Collaborate across engineering teams, mentor developers, and help drive innovation in GraphRAG and agentic AI architectures.

Requirements

Degree in Computer Science, AI/ML, or related field.
5+ years of AI/ML-focused software engineering experience.
Production experience building LLM-based or agentic AI systems.
Strong expertise in Python and modern AI frameworks.
Experience with embeddings, knowledge graphs, ontology extraction, and advanced RAG/GraphRAG implementations.
Full-stack development experience (Python back end + modern front end).
Experience deploying AI workloads to AWS, Azure, or Google Cloud Platform.
Familiarity with LLMOps/MLOps tooling and model evaluation frameworks.
Strong problem-solving, communication, and collaboration skills.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91081414
Position Id: 8930936
Posted 2 hours ago

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