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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 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 GCP).
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.
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/GraphRAG 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