Python AI Engineer – Knowledge Management

Requirements

• Locals Only
• Experience - 12 to 15+ Years
• NO GC NO OPT
• Strong experience in Python, Generative AI, LLMs, NLP, and RAG.
• Knowledge of Open Knowledge Format (OKF), Knowledge Fabric, ServiceNow Knowledge, Confluence, and SharePoint.
• Experience with Knowledge Management, Metadata Management, Taxonomy Design, Content Classification, and Governance.
• Hands-on experience building Python-based document ingestion, extraction, parsing, transformation, and validation pipelines.
• Experience with GPT-4, Claude 3.5, Mistral, LLaMA 3, BERT, and T5.
• Strong knowledge of LangChain, LangGraph, LlamaIndex, Hugging Face, and AutoGen.
• Experience with FastAPI, Flask, REST APIs, OpenAI API, Azure OpenAI, and MCP.
• Knowledge of Docker, Kubernetes, MLflow, CI/CD, and MLOps.
• Cloud experience with AWS, Azure, or GCP (Vertex AI).
• Operational knowledge: Runbooks, Playbooks, SOPs, ITIL, ITSM, and Incident Management.
• Knowledge pipelines, content quality assessment, schema validation, and hallucination evaluation.
• Enterprise search, AI copilots, AI agents, and automation workflows.

Schedule

• Contract

How to apply

• Share your updated resume via DM.
• F2F Interview Final Round

Location

• Dallas, TX / Charlotte, NC