AI Operations Engineer
Core
Develop and fine-tune NLP and LLM models for customer matching, deduplication, and integrate LLMs into enterprise systems.
Role type
Senior IC AI/ML/LLM Engineer (MLOps & RAG)
Builds
MLOps pipelines, RAG pipelines, and integrated LLM applications for enterprise data enablement.
Domain
Enterprise AI, Large Language Models, Natural Language Processing
Deliverable
production ML models
Required skills
LangChain/LangGraph, vector databases, RAG pipeline construction, hybrid search, reranking strategies, context window management, LLM evaluation, data preprocessing, model deployment and monitoring
Preferred skills
MCP Servers, safety layers/guardrails, traditional NLP techniques, LLM grounding
Technologies
LangChain, LangGraph, Tavily, Google Vertex AI, AWS, Azure
Responsibilities
Develop and fine-tune NLP models for customer matching and deduplication; Build and optimize MLOps pipelines; Integrate LLMs into enterprise systems; Deploy and monitor ML models in production; Contribute to proof-of-concept projects for emerging AI technologies.
Seniority
Senior, hands-on IC