Senior AI Platform Engineer
Tasks
- Build and operate AI platform services
- Build and support AI governance platform
- Build memory and episodic state abstractions
- Build templates scaffolding and CLI tools
- Build tool interfaces for enterprise systems
- Collaborate with teams for onboarding and compliance
- Contribute to documentation and playbooks
- Create patterns for tool definitions and safe execution
- Design interoperable APIs and SDKs
- Develop observability with traces logs and metrics
- Develop retrieval frameworks
- Develop reusable reference patterns
- Develop scalable backend services
- Evaluate emerging AI and ML infrastructure
- Implement shared runtimes for multi agent coordination
- Integrate structured and unstructured data through connectors
- Maintain and improve CI/CD pipelines
- Mentor engineering and data science teams
- Optimize runtime performance for CPU GPU workloads
- Provide feedback oversight and evaluation mechanisms
Perks/Benefits
Skills/Tech-stack
API Design | Asynchronous programming | Auditability | Azure | Azure Kubernetes | Azure Kubernetes Service | CI/CD | Compliance | Concurrency | Containers | Distributed tracing | Embeddings | GitHub | Governance | Infrastructure as Code | Java | Jenkins | Kubernetes | Kubernetes Service | LLM | Logging | MLOps | Observability | Performance Monitoring | Prompt engineering | Python | Rate Limiting | Retrieval architectures | Scala | Security | System Reliability | Terraform | Tool orchestration | TypeScript | Vector Databases | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
AI | AI Platform Engineer | Engineer | Platform Engineer | Software Engineer
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