Vice President, AI Engineer
Tasks
- Apply cybersecurity principles to AI deployments
- Architect microservice based ai systems
- Build multi-agent systems
- Design agentic AI solutions
- Develop generative AI solutions
- Develop observability and monitoring systems
- Implement distributed compute for AI
- Integrate privacy-preserving technologies
- Monitor AI models for reliability and compliance
- Optimize inference pipelines
- Parallelize processing to reduce latency
- Translate business needs into AI solutions
Perks/Benefits
Skills/Tech-stack
Agent systems | Agentic AI | Containerization | Cybersecurity | Data Privacy | Distributed Computing | Docker | Generative AI | Inference Optimization | Infrastructure as Code | Kubernetes | Langfuse | Langgraph | Language Models | Large Language Models | Microservices | Milvus | Monitoring | Multi-Agent | Multi-Agent Systems | Observability | Privacy-Preserving Techniques | Privacy-preserving | PyTorch | Python | Reinforcement Learning | TensorFlow | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer
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