AI Research Engineer – Agentic AI
Core
Design, build, and evaluate agentic AI systems that plan, reason, act, and collaborate across tools and environments for complex, long-horizon tasks.
Role type
Senior IC AI Research Engineer (Agentic AI)
Builds
Robust agent harnesses, evaluation frameworks, self-improving agent loops, and optimized memory systems for edge and cloud deployment.
Domain
Artificial Intelligence, Agentic Systems, Large Language Models (LLMs), Edge Computing
Deliverable
production ML models
Required skills
Python, LLMs and agentic systems, ML fundamentals, experimental design, statistical thinking, technical documentation
Preferred skills
Agent frameworks, structured generation, agent memory management, self-improving agents, LLM fine-tuning & reinforcement learning, model optimization for edge, harness engineering, production of AI systems
Technologies
Python, LLMs, RAG systems, agent frameworks
Responsibilities
Design and build agentic AI systems for planning, reasoning, and multi-agent collaboration; Develop evaluation frameworks covering end-to-end testing, regression analysis, and metrics; Implement self-improving agent loops using reflection and automated feedback; Architect and optimize agent memory systems including retrieval-augmented generation and privacy-aware retention; Enable reliable deployment of agents on constrained and edge environments.
Seniority
Senior, hands-on IC