Customer Engineer, Public Sector
Mexico City, CDMX, Mexico
MXN 720K-1062K (estimate) Senior-level Full Time
Tasks
- Architect LLM deployments
- Audit multi agent orchestration and agent construction
- Bridge high compute clusters and cloud AI services
- Harden inference endpoints
- Investigate mitigate AI specific threats
- Manage LLM deployments on premises and cloud
- Map data flows and enforce privilege boundaries
- Map testing findings to MITRE ATLAS
- Map testing findings to OWASP for LLMs
- Map testing findings to STRIDE
- Optimize GPU utilization and resource isolation
- Orchestrate inference and training environments
- Secure model weights and data ingestion
Perks/Benefits
Skills/Tech-stack
Agent Development | Agent Orchestration | Air-gapped | Air-gapped environments | Cloud Computing | Cloud platform | Data poisoning | Deployment frameworks | Docker | Google Cloud | Google Cloud Platform | Hugging Face | Hugging Face Transformers | Jailbreaking | Kubernetes | LLM Deployment | LLM deployment frameworks | Language Models | Large Language Models | Learning operations | MITRE ATLAS | MLOps | Machine Learning | Machine Learning Operations | Multi-Agent | Multi-agent orchestration | NVIDIA Triton | OWASP | Ollama | On-Premises | On-premises HPC | Prompt injection | PyTorch | Python | STRIDE | TensorFlow | VLLM | Vector Databases | Vertex AI
Education
Roles
AI | AI Engineer | Customer Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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