Own the full lifecycle of AI-first agentic systems, from rapid ideation and requirements gathering through architecture, implementation, hands-on testing, and launch
Job Summary
Own the full lifecycle of AI-first agentic systems, from rapid ideation and requirements gathering through architecture, implementation, hands-on testing, and launch.
Work side-by-side with hardware, software, and product teams to embed AI capabilities that drive agentic behavior directly onto smart devices.
Constantly scout, experiment with, and deploy the latest AI models and algorithms, adopting new tech every day rather than waiting for monthly cycles.
Matching Summary
Own the full lifecycle of AI-first agentic systems, from rapid ideation and requirements gathering through architecture, implementation, hands-on testing, and launch.
Skills & Requirements
Must-have
AI-first agentic systems
reinforcement learning
multi-agent systems
Retrieval-Augmented Generation (RAG)
persistent memory operating systems
Python and C/C++ fluency
TensorFlow and PyTorch expertise
Nice-to-have
startup-style environment
fast-moving
push boundaries
staying ahead of the curve
hardware/software co-design
embedded software optimization
Key Requirements
Hands-on artifacts in AI product development
Deep mastery in agentic AI systems
Proven track record in AI, embedded systems, and product innovation
Fluency in Python and C/C++
Experience with top-tier AI frameworks like TensorFlow and PyTorch