AI Engineer
Tasks
- Build RAG pipelines
- Build agent workflows with AutoGen
- Build agent workflows with LangChain
- Build agent workflows with LangGraph
- Deploy and manage vector databases
- Fine tune models with LoRA
- Fine tune models with PEFT
- Implement agent memory state locally
- Implement local data governance
- Orchestrate deployments with Kubernetes
- Package models with Docker
- Quantize models with AWQ
- Quantize models with GGUF
- Quantize models with GPTQ
- Run air gapped workflows
- Serve models with Ollama
- Serve models with TGI
- Serve models with Triton Inference Server
- Serve models with vLLM
- Set up private logging and guardrails
Perks/Benefits
- N/A
Skills/Tech-stack
AWQ | Autogen | C++ | CI/CD | CUDA | Docker | GPTQ | Gguf | GitLab CI | Grafana | Inference Server | Java | Jenkins | Kubernetes | Langchain | Langgraph | LoRA | Microservices | Milvus | NVIDIA GPUs | NVIDIA Triton | NVIDIA Triton Inference | NVIDIA Triton Inference Server | Nemo Guardrails | Ollama | OpenTelemetry | PEFT | PGVector | Pinecone | Prometheus | Python | Qdrant | ROCm | Retrieval-Augmented Generation | Rust | TGI | Triton Inference Server | VGPU | VLLM
Education
N/A
Roles
AI | AI Engineer | Engineer
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