Senior AI and ML Engineer, Agentic AI Systems
Core
Designing and developing AI-powered systems that combine large language models, retrieval architectures, and agentic workflows to enable autonomous reasoning and problem-solving.
Role type
Senior IC machine-learning engineer (agentic AI systems)
Builds
Intelligent workflows, retrieval architectures, and autonomous AI systems for engineers
Domain
Artificial Intelligence / Machine Learning / Software Engineering
Deliverable
production ML models
Required skills
Python, large language models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, machine learning fundamentals, vector databases, semantic search, experimental design, model evaluation, debugging, analytical thinking
Preferred skills
Production AI copilots/agents, evaluation frameworks, ranking systems, knowledge graphs, prompt engineering, fine-tuning foundation models, open-source contributions
Technologies
Python, LLMs, RAG, vector databases, semantic search technologies
Responsibilities
Design and develop AI-powered systems combining LLMs and retrieval architectures; Develop capabilities for AI systems to reason across multiple information sources; Build intelligent workflows that improve through evaluation and feedback; Explore emerging approaches in AI agents and reasoning frameworks; Collaborate with software engineers to transform research into production capabilities; Design and execute experiments to improve model accuracy and robustness; Build evaluation and benchmarking frameworks for AI systems; Design and optimize retrieval architectures and knowledge pipelines
Seniority
Senior, hands-on IC