Senior AI Application Engineer
Tasks
- Apply Model Context Protocol integration
- Apply event-driven architecture
- Build e-commerce platform features
- Build modern web applications
- Design caching and concurrency strategies
- Design distributed systems
- Develop RESTful APIs
- Develop low latency high throughput APIs
- Ensure API performance and scalability
- Implement AI agent workflows
- Implement asynchronous processing
- Implement microservices
- Improve resiliency and reliability
- Integrate LLM tools and tool calling
- Integrate messaging systems
- Orchestrate agent workflows
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | Amazon SNS | Amazon SQS | Asynchronous processing | CI/CD | Caching | Concurrency | Distributed Systems | Event Driven | Event-driven architecture | GraphQL | JavaScript | Kafka | Kubernetes | LLM integration | Microservices | Model Context Protocol | Node.js | REST API | RabbitMQ | React | Resiliency | Scalability | Tool-Calling | TypeScript
Education
N/A
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