AI Software Engineer - Expert
Tasks
- Automate MLOps pipelines
- Build agentic LLM workflows
- Deploy models across development lifecycle
- Design multi-cloud container infrastructure
- Establish security scanning frameworks
- Implement model quantization
- Integrate service mesh
- Lead AI platform architecture
- Lead Agile sprint execution
- Manage Kubernetes clusters
- Manage technical debt
- Mentor engineering teams
- Optimize memory efficiency
- Optimize model inference performance
- Remediate production vulnerabilities
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Air gapped deployment | Air-gapped | Asynchronous programming | C++ | Cloud Architecture | Containerization | DevSecOps | Gapped Deployment | Go | Infrastructure as Code | Kubernetes | MLOps | Machine Learning | Model Distillation | Model Quantization | Multi-cloud | Multi-cloud architecture | Python | RAG | Retrieval-Augmented Generation | Scrum | Security Scanning | Service Mesh | Terraform | Vulnerability Remediation | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Software Engineer | Architect | DevOps | DevOps Engineer | Engineer | Software Architect | Software Engineer
Regions
Countries
States
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