AI Engineer – Technical Leader (Agentic AI & FPGA Systems)
Tasks
- Architect agentic AI systems
- Build RAG pipelines
- Build low latency FPGA inference pipelines
- Co design with hardware teams for FPGA constraints
- Compile graphs and fuse operators
- Create reusable memory and tool integration components
- Define system architecture for cloud edge and hardware acceleration
- Design multi-agent orchestration
- Develop internal AI platforms with LangChain
- Develop internal AI platforms with LlamaIndex
- Develop planning and reasoning agents
- Develop tool using agent workflows
- Evaluate and integrate large language models
- Implement knowledge retrieval and indexing
- Integrate AI workflows into EDA toolchains
- Lead architecture design reviews
- Map PyTorch and Hugging Face models to FPGA
- Mentor engineers and guide cross-functional teams
- Optimize memory and bandwidth for inference
- Optimize prompting memory and reasoning strategies
- Partition models across CPU GPU and FPGA
- Quantize and optimize models for FPGA
Perks/Benefits
- N/A
Skills/Tech-stack
ASIC | Agent systems | Agentic AI | BF16 | Bandwidth Optimization | C++ | CPU GPU | CPU GPU FPGA | Compilation | Distributed Systems | EDA Tools | FPGA | Graph compilation | HLS | Heterogeneous computing | Hugging Face | Langchain | Language Models | Large Language Models | Llamaindex | Low Latency | Memory Optimization | Mixed Precision | Model partitioning | Multi-Agent | Multi-Agent Systems | Operator fusion | PyTorch | Python | Quantization | RAG | Retrieval-Augmented Generation | Runtime | Synthesis | System Architecture
Education
N/A
Roles
AI | AI Engineer | AI Technical Leader | Engineer | Technical Leader
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