Principal Engineer - Agentic AI Architect
Core
Design and develop next-generation agentic AI systems integrated with FPGA/ASIC platforms, bridging software intelligence and hardware acceleration.
Role type
Principal Engineer - Agentic AI Architect
Builds
Scalable AI systems, agentic workflows, and hardware-aware inference pipelines
Domain
AI/ML systems, FPGA/ASIC hardware design, distributed systems
Deliverable
production ML models
Required skills
LLM architecture and inference, RAG systems, agentic AI and autonomous agents, FPGA/ASIC/EDA system design, heterogeneous computing, Python, C++, distributed systems design, LLM fine-tuning and quantization, compiler stacks (MLIR, TVM)
Preferred skills
Robotics, autonomous systems, real-time AI pipelines
Technologies
LangChain, LlamaIndex, Python, C++, MLIR, TVM
Responsibilities
Design and implement agentic AI systems using LLMs and multi-agent orchestration, architect RAG pipelines for enterprise-scale knowledge integration, co-design AI systems with FPGA acceleration and ASIC platforms, build internal platforms for memory management and tool integration, lead architecture reviews and mentor senior engineers
Seniority
Principal, strategy & mentorship
