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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