Principal Specialist, AI Application
Tasks
- Apply AI safety and validation mechanisms
- Build AI agent platform integrations
- Build async and event driven components
- Build prompt evaluation pipelines
- Build prototypes and production grade components
- Containerize applications with Docker
- Design agentic workflows and prompt orchestration
- Design and build RAG pipelines
- Design fault-tolerant resilient systems
- Design scalable architectures for AI powered applications
- Design stateless distributed cloud services
- Develop RESTful APIs and microservices using Python
- Develop backend services and AI orchestration layers
- Ensure code quality, testability, and maintainability
- Implement authentication and authorization using OAuth2
- Implement authentication and authorization using OIDC
- Integrate LLMs via APIs and self hosted inference
- Orchestrate services with Kubernetes
- Provide system observability using logging
- Provide system observability using metrics
- Provide system observability using tracing
- Translate business requirements into system designs
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Workflows | Asynchronous programming | Cloud Computing | Distributed Systems | Docker | Event Driven | Event-driven architecture | Kubernetes | Language Models | Large Language Models | Logging | Microservices | OAuth2 | Observability | OpenID Connect | Prompt engineering | Prompt evaluation | Prompt orchestration) | Python | RAG | RESTful APIs | Retrieval-Augmented Generation
Education
N/A
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