AI Engineer
Tasks
- Architect and deploy retrieval augmented generation solutions
- Collaborate with DevSecOps data engineering platform engineering and cybersecurity teams
- Deploy and manage Kubernetes based AI deployments
- Develop Python based AI applications for GPU inference optimization
- Ensure AI governance and continuous monitoring
- Implement and optimize AI ML production engineering workflows
- Implement observability for mission critical applications
- Integrate scalable AI software with AI APIs
- Operationalize AI and agentic AI systems for production environments
- Use AI orchestration frameworks
Perks/Benefits
- N/A
Skills/Tech-stack
Cybersecurity | Deep learning | DevSecOps | GPU Inference | GPU inference optimization | Inference Optimization | Kubernetes | LLM orchestration | LLMOps | Langgraph | MLOps | Machine Learning | NVIDIA GPU | Observability | Ollama | OpenAI Compatible | OpenAI Compatible APIs | Python | RAG | Ray | Retrieval-Augmented Generation | Semantic Kernel | VLLM | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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