AI Engineer
Core
Build agentic AI systems combining LLMs, reasoning workflows, and FPGA hardware acceleration for real-world autonomous tasks.
Role type
Early-career AI Engineer (Agentic Systems & Hardware Co-design)
Builds
End-to-end agentic AI platforms with tool integration, RAG pipelines, and hardware-aware inference
Domain
Semiconductor / EDA / Hardware-Accelerated AI
Deliverable
production ML models
Required skills
Python, system design, data structures, LLM integration, RAG implementation, hardware-aware optimization
Preferred skills
C++, LangChain, LlamaIndex, vector databases (FAISS, Milvus), prompt engineering, FPGA/ASIC exposure
Technologies
Python, C++, LLMs, RAG, FPGA, ASIC, vector databases
Responsibilities
Develop LLM-powered agents using tools and APIs; implement RAG pipelines for knowledge integration; design multi-step reasoning workflows; collaborate with FPGA/ASIC teams on hardware-aware AI design; build reusable components for memory, context, and tool integration; evaluate and improve model behavior for accuracy and latency
Seniority
Junior, high-potential early career
