AI Engineer
Tasks
- Build and maintain scalable AI orchestration frameworks
- Deploy and optimize Kubernetes based AI deployments for GPU inference
- Design and operationalize full lifecycle MLOps and LLMOps
- Develop AI systems in Python
- Implement and deploy retrieval augmented generation architectures
- Integrate OpenAI compatible APIs into mission solutions
- Operationalize AI agents using LangGraph or Semantic Kernel
Perks/Benefits
- Disability insurance
- Health insurance
- Holiday pay
- Learning and development
- Life insurance
- Paid time off
- Retirement savings
- Wellness programs
Skills/Tech-stack
Azure OpenAI | Azure Security | Azure Security Center | Azure Synapse | Databricks | GPU Optimization | Kubernetes | LLMOps | Langgraph | MLOps | Machine Learning | NVIDIA GPUs | OpenAI Compatible | OpenAI Compatible API | PyTorch | Python | Ray | Retrieval-Augmented Generation | Security Center | Semantic Kernel | TensorFlow | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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