Machine Learning Engineer
Core
Design, build, and maintain robust, scalable AI solutions including multi-agent systems, RAG systems, and LLM integrations within a DevOps environment.
Role type
Senior IC machine learning engineer (LLMs & agentic workflows)
Builds
Production AI solutions, multi-agent systems, and RAG pipelines
Domain
Artificial Intelligence / Large Language Models / Enterprise Data
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, Large Language Models (LLMs), AI agents & agentic workflows, LLM orchestration, RAG systems, data preprocessing, feature engineering, model evaluation
Preferred skills
Statistical concepts (probability, linear algebra), software development best practices, system prompt optimization
Technologies
TensorFlow, PyTorch
Responsibilities
Develop and optimize machine learning and AI solutions; Create multi-agent systems with function/tool-calling capabilities; Design and implement RAG systems; Assess and integrate AI models (e.g. LLMs); Optimize agentic workflows; Test and optimize system prompts and few-shot examples; Evaluate model performance using appropriate metrics; Collaborate with platform teams and data engineers to integrate solutions; Participate in code reviews, testing, and debugging.
