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to My C2C Vendors 2023
AI Engineer – GenAI / Agentic
Systems
Location: Charlotte, NC or Dallas,
TX
What You’ll Do
Build GenAI applications leveraging
foundation models and advanced architectures such as Graph RAG.
Develop autonomous AI agents using modern
agentic frameworks.
Design and deploy RAG and GenAI services
using Python (Fast API), Docker, and cloud platforms (AWS, Azure, or GCP).
Build scalable REST APIs that power
LLM-driven applications integrated with enterprise data sources.
Implement LLM evaluation frameworks using
tools such as Ragas, Lang Smith, 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 Graph RAG and agentic AI
architectures.
What You’ll Bring
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/Graph RAG implementations.
Full-stack development and deployment
experience (Python back end + modern front end).
Experience deploying AI workloads to AWS,
Azure, or GCP.
Familiarity with LLMOps/MLOps tooling and
model evaluation frameworks.
Strong problem-solving, communication, and
collaboration skills.
Thanks & Regards, Maddula Venkateshwara Reddy | ICS Global Soft Senior. US IT RECRUITER venkatre...@gmail.com