Machine Learning Engineer
Core
Design, build, and maintain robust, scalable AI solutions and multi-agent systems within a DevOps environment, integrating LLMs and RAG systems to address complex business challenges.
Role type
Machine Learning Engineer (AI/LLM focus)
Builds
Production-ready AI agents, multi-agent systems, and RAG solutions for enterprise data
Domain
Wealth Management / Financial Services
Deliverable
production ML models
Required skills
Python, TensorFlow/PyTorch, Large Language Models (LLMs), AI agents & agentic workflows, LLM orchestration, data pre-processing, feature engineering, model evaluation, statistical concepts
Preferred skills
RAG system design, function/tool-calling implementation, system prompt optimization, few-shot learning techniques
Technologies
TensorFlow, PyTorch
Responsibilities
Develop and optimize ML/AI solutions, create multi-agent systems with tool-calling, design RAG systems, integrate AI models, optimize agentic workflows, evaluate model performance, collaborate on system integration
Seniority
Mid-Senior, hands-on IC