Senior AI Software Development Engineer
Tasks
- Build MCP servers and API integration gateways
- Build and optimize agent orchestration frameworks
- Build logging tracing telemetry and evaluation pipelines
- Create technical documentation internal libraries and code samples
- Develop internal SDKs and reusable components
- Develop multi agent collaboration patterns
- Develop reference implementations for high code agents
- Ensure RBAC enforcement and secure data handling
- Guide teams adopting Gemini Code Assist and AI development platforms
- Implement agent lifecycle management and state persistence
- Implement prompt engineering and structured outputs
- Implement safety guardrails prompt injection defenses and policy enforcement
- Implement secure integrations with enterprise systems
- Integrate Gemini models via Vertex AI
- Optimize inference latency parallelization and cost strategies
- Perform performance testing and benchmarking
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | API Integrations | Agent Frameworks | Authentication | Authorization | Batching | Caching | Docker | Embeddings | Evaluation Pipelines | Function Calling | Gemini APIs | Go | JSON Schema | Java | JavaScript | Kubernetes | LLM | Langchain | Llamaindex | Logging | MCP | Microservices | Model Evaluation | OpenAI APIs | Prompt engineering | Python | RAG | RBAC | Secure API | Secure API integrations | Streaming responses | Structured Output | Telemetry | Token efficiency | Tool-Calling | Tracing | TypeScript | Vector Databases | Vertex AI
Education
N/A
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