AI Engineer
Tasks
- Build AWS serverless applications
- Build and deploy generative AI applications
- Build real time systems with WebSockets
- Contribute to architecture decisions
- Create integration testing frameworks
- Create unit testing frameworks
- Deploy cloud-native applications
- Design scalable backend services
- Develop RAG solutions
- Develop REST APIs
- Engineer prompts and AI workflows
- Evaluate and benchmark LLMs
- Implement AI observability and monitoring
- Implement CI/CD pipelines
- Implement event-driven architectures
- Troubleshoot and optimize performance
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | AWS Lambda | Amazon API | Amazon API Gateway | Amazon DynamoDB | Anthropic | CI/CD | Embeddings | Event Driven | Event-driven architecture | Gemini | Generative AI | Integration Testing | JavaScript | Langchain | Langgraph | Language Models | Large Language Models | Llama | Llamaindex | Microservices | Monitoring | Observability | OpenAI | Private Cloud | Prompt Optimization | Prompt engineering | RAG | REST | Retrieval-Augmented Generation | Semantic Kernel | TypeScript | Unit Testing | Vector Databases | Virtual Private Cloud | WebSockets
Education
N/A
Roles
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