Principal Engineer - Agentic AI Architect
Tasks
- Architect RAG pipelines
- Build AI platforms with LangChain
- Build AI platforms with LlamaIndex
- Build end to end AI system architecture
- Co design AI systems with ASIC platforms
- Co design AI systems with FPGA acceleration
- Design Agentic AI systems
- Develop planning and reasoning agents
- Develop reusable knowledge retrieval components
- Develop reusable memory management components
- Develop reusable tool integration components
- Develop tool-using agents
- Integrate and evaluate large language models
- Lead architecture reviews
- Mentor engineering teams
- Optimize LLM inference with quantization compilation and partitioning
- Optimize prompt engineering memory and reasoning
Perks/Benefits
- N/A
Skills/Tech-stack
AI Deployment | API Design | ASIC | Agent systems | Agentic AI | Autonomous Systems | C plus plus | CPU GPU | CPU GPU FPGA | Cloud deployment | Distributed Systems | EDA | Edge AI | Edge AI deployment | FPGA | Fine Tuning | Heterogeneous computing | LLM Fine-tuning | LLM Inference | Language Models | Large Language Models | MLIR | Microservices | Model Distillation | Multi-Agent | Multi-Agent Systems | Prompt engineering | Python | Quantization | RAG | Retrieval-Augmented Generation | Robotics | TVM | Tool use | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Architect | Architect | Engineer | Principal | Principal Engineer
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