Senior Software Engineer, AI Platform
Tasks
- Add health checks
- Add metrics and traces
- Add quality gates
- Audit and fix security issues
- Build observability with tracing
- Build test suite
- Create latency dashboards
- Design caching strategies
- Design test infrastructure
- Extract reusable modules
- Harden production services
- Implement circuit breakers
- Implement prompt engineering and output parsing support
- Implement rate limiting
- Implement structured logging
- Improve CI/CD pipeline
- Integrate LLM APIs
- Manage dependencies with lock files
- Mentor mid-level engineers
- Own reliability and performance of AI services
- Reduce code duplication
- Refactor for maintainability
- Remove unused dependencies
- Resolve version inconsistencies
- Set up alerting for error rates
- Wire tests into CI
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Async/Await | Authentication | Azure | Azure DevOps | Azure DevOps Pipelines | CI/CD | Caching | Circuit Breakers | Containerization | Dataclasses | Dependency management | DevOps Pipelines | Distributed tracing | Django REST | Django REST Framework | Docker | FastAPI | Flask | GitHub Actions | GitLab CI | Grafana | Identity Management | Integration Testing | Kubernetes | LLM APIs | Lock Files | Managed databases | Mocking | Observability | OpenTelemetry | Output parsing | Prometheus | Prompt engineering | Pydantic | Pytest | Python | REST APIs | REST Framework | Rate Limiting | Retry patterns | Structured Logging | Structured Output | Structured output parsing | Unit Testing
Education
N/A
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