Senior Quantitative Analytics Specialist
Core
Design, pre-train, fine-tune, and evaluate transformer-based foundation models, LLMs, and multi-agent systems for enterprise-scale Gen AI and Agentic applications.
Role type
Senior IC machine-learning engineer (foundation models & agentic AI)
Builds
Production Gen AI applications, multi-agent workflows, and scalable model training pipelines
Domain
Financial services / Generative AI / Large Language Models
Deliverable
production ML models
Required skills
Foundation model training (pre-training, SFT, RLHF, DPO), Multi-agent system design, Distributed GPU training, Model optimization (LoRA, PEFT, quantization), Cloud deployment (GCP), Statistical theory, Risk modeling
Preferred skills
Experience with LangChain/LangGraph/LlamaIndex, Retrieval-Augmented Generation (RAG), Human-in-the-loop AI, Model evaluation frameworks
Technologies
GCP, LangChain, LangGraph, LlamaIndex, CrewAI, LoRA, PEFT, RLHF, RLAIF, PPO, DPO, GRPO
Responsibilities
Design and build LLM-powered agents capable of planning and task orchestration, Monitor production models for performance and drift, Build scalable model training and deployment pipelines, Optimize inference speed and cost for production AI systems, Apply generative AI techniques to solve complex business problems
Seniority
Senior, hands-on IC