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PLEASE NOTE:<\/b><\/span><\/span><\/u>
<\/b><\/span><\/span><\/p>\n \n - It is a 100% on\-site position, Carry, NC.<\/b><\/span><\/span><\/span>
<\/b><\/li>\n - 5 days\/week.<\/b>
<\/b><\/span><\/span><\/li>\n - Local candidates.<\/b>
<\/b><\/span><\/span><\/li>\n - HackerRank assessment required<\/b><\/span><\/span>
<\/b><\/li>\n <\/ul>Job Description:<\/b><\/span><\/span><\/span><\/u>
<\/span><\/span><\/p>\n \n - Build GenAI applications leveraging foundation models and advanced architectures such as GraphRAG.
<\/span><\/span><\/span><\/li>\n - Develop autonomous AI agents using modern Agentic frameworks.
<\/span><\/span><\/span><\/li>\n - Design and deploy RAG and GenAI services using Python (FastAPI), Docker, and cloud platforms (AWS, Azure, or GCP).
<\/span><\/span><\/span><\/li>\n - Build scalable REST APIs that power LLM\-driven applications integrated with enterprise data sources.
<\/span><\/span><\/span><\/li>\n - Implement LLM evaluation frameworks using tools such as Ragas, LangSmith, or custom benchmarks to measure answer relevance, groundedness, and hallucination rates.
<\/span><\/span><\/span><\/li>\n - Apply LLMOps\/MLOps practices, including CI\/CD pipelines, prompt\/version management, automated testing, and monitoring of latency, cost, and response quality.
<\/span><\/span><\/span><\/li>\n - Develop systems leveraging Embeddings at scale, knowledge graphs, and ontology extraction.
<\/span><\/span><\/span><\/li>\n - Collaborate across engineering teams, mentor developers, and help drive innovation in GraphRAG and Agentic AI architectures.
<\/span><\/span><\/span><\/li>\n <\/ul>\n \n
SKILL SET:<\/b><\/span><\/span><\/u><\/span>
<\/span><\/span>\n <\/div>\n \n - Focus on building AI\-driven solutions using Python, including LLMs, Embeddings, knowledge graphs, and RAG Architecture.<\/span><\/span><\/span>
<\/li>\n - Cortex AI, depth or experience in GraphRAG, Knowledge Graphs, and Agentic System Design.<\/span><\/span><\/span><\/span><\/span>
<\/li>\n <\/ul><\/span>
Requirements<\/h3>\n \n
Required Qualifications:<\/b><\/span><\/span><\/span><\/u>
<\/span><\/span><\/p>\n \n - Degree in Computer Science, AI\/ML, or related field.<\/b>
<\/span><\/span><\/span><\/li>\n - 5+ years of AI\/ML\-focused software engineering experience.
<\/span><\/span><\/span><\/li>\n - Production experience building LLM\-based or Agentic AI systems.
<\/span><\/span><\/span><\/li>\n - Strong expertise in Python and modern AI frameworks.
<\/span><\/span><\/span><\/li>\n - Experience with Embeddings, knowledge graphs, ontology extraction, and advanced RAG\/GraphRAG implementations.
<\/span><\/span><\/span><\/li>\n - Full\-stack development experience (Python back end + modern front end).
<\/span><\/span><\/span><\/li>\n - Experience deploying AI workloads to AWS, Azure, or GCP.
<\/span><\/span><\/span><\/li>\n - Familiarity with LLMOps\/MLOps tooling and model evaluation frameworks.
<\/span><\/span><\/span><\/li>\n - Strong problem\-solving, communication, and collaboration skills.<\/span><\/span><\/span><\/span><\/span>
<\/li>\n <\/ul>\n \n
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