Senior AI Engineer (Xora Portfolio Company)
Core
Owns the LLM systems behind the platform, building agents and fine-tuned models that ship as product for material design and validation.
Role type
Senior IC machine-learning engineer (LLM systems & agents)
Builds
Production LLM services, multi-step agents, and retrieval systems for material design workflows
Domain
Applied AI, materials science, large-scale computation
Deliverable
production ML models
Required skills
Python, LLM system design, agent development, RAG system design, model fine-tuning, LLM evaluation, API development
Preferred skills
Self-hosted inference (vLLM, TGI, SGLang), MCP standards, knowledge graph retrieval, open-source AI/ML contributions
Technologies
Python, LangGraph, Pydantic, JSON Schema, LoRA, QLoRA, vLLM, TGI, SGLang, MCP
Responsibilities
Build and ship LLM-powered capabilities end to end; Design agents for multi-step work; Build retrieval systems with embeddings and hybrid search; Fine-tune open-weight models on multi-GPU; Build evaluation loops for automated scoring and regression tracking; Instrument model calls with tracing; Turn capabilities into clean APIs and reusable tooling
Seniority
Senior, hands-on IC
