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Python - AI Engineer Contractor

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Job Description - 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.








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