AI Engineer – GenAI

AI Engineer – GenAI

Dallas/Charlotte Only Local Inperson Interview

Long Term

Contract

 

 

 

To strong GenAI experience including RAG, GraphRAG, Knowledge Graphs, Entity/Ontology Extraction and related architectures, we’re specifically looking for candidates who also bring start-up experience. Hands-on exposure to fast-paced, early-stage environments

 

•                Deploying AI models into live production environments

•                Integrating models into real applications or systems

•                Supporting models post-deployment (monitoring, performance, scalability, etc.)

•                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.

•                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 GCP.

•                Familiarity with LLMOps/MLOps tooling and model evaluation frameworks.

•                Strong problem-solving, communication, and collaboration skills.

 

 

 

Munesh

770-838-3829,

munesh@cysphere.net

munesh.reddy.us@gmail.com

CYBER SPHERE LLC