AI Engineer
Tasks
- Apply quantization for model optimization
- Automate CI CD builds
- Build LangChain LangGraph or AutoGen workflows
- Configure private logging and guardrails
- Deploy model serving with vLLM Ollama TGI or Triton
- Design agent state and memory loops
- Evaluate Hugging Face model weights
- Implement local data governance and access controls
- Implement retrieval-augmented generation pipelines
- Manage local vector databases
- Monitor system metrics with Prometheus and Grafana
- Orchestrate Kubernetes clusters
- Package and deploy AI models
- Run PEFT and LoRA fine tuning
- Set up air gapped workflows and local security
Perks/Benefits
- N/A
Skills/Tech-stack
AWQ | Air-gapped | Autogen | C++ | CUDA | Docker | GPTQ | Gguf | GitLab CI | Grafana | Hugging Face | Inference Server | Java | Jenkins | Kubernetes | Langchain | Langgraph | LoRA | Milvus | Nemo Guardrails | Ollama | OpenTelemetry | PEFT | PGVector | Pinecone | Prometheus | Python | Qdrant | Quantization | RAG | ROCm | Retrieval-Augmented Generation | Rust | TGI | Triton Inference | Triton Inference Server | VGPU | VLLM | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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