Senior LLM AI Engineer
Core
Design, build, and deploy production-ready LLM-driven solutions for business intelligence assistants and process automation workflows, transforming enterprise data into intelligent, context-aware foundations.
Role type
Senior IC LLM AI Engineer
Builds
Production LLM systems, business intelligence assistants, and process automation workflows for enterprise data privacy and governance.
Domain
Data storage, enterprise data privacy, security, and governance
Deliverable
production ML models
Required skills
LLM system design and architecture, model fine-tuning and instruction tuning, retrieval and context orchestration pipelines, model optimization and deployment, Python, modern LLM frameworks (PyTorch, Hugging Face, Transformers), inference pipeline optimization
Preferred skills
Semantic search and query understanding, agentic LLM frameworks, MCP and agent skills, LLM alignment techniques (RLHF, DPO), privacy-constrained data governance
Technologies
PyTorch, Hugging Face, Transformers, Gemini, Claude, ONNX, TensorRT-LLM, vLLM
Responsibilities
Design and deploy LLM-based AI solutions for natural language interaction, search, analytics, and reasoning; implement workflows for data annotation, synthetic dataset generation, and model evaluation; lead fine-tuning and continuous improvement of proprietary LLMs; define model training strategies and dataset requirements; optimize LLM inference pipelines for latency, cost, and throughput; deploy, operate, and monitor LLM systems in production; translate business challenges into LLM system designs; guide architectural decisions for applied AI solutions.
Seniority
Senior, hands-on IC