Python - AI Engineer Contractor

PLEASE NOTE:

• It is a 100% on-site position, Carry, NC.


• 5 days/week.


• Local candidates.


• HackerRank assessment required

Job Description:

• 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.
  

SKILL SET:

• Focus on building AI-driven solutions using Python, including LLMs, Embeddings, knowledge graphs, and RAG Architecture.
  

Requirements

Required Qualifications:

• 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.