Senior AI Application Engineer, Enterprise AI
Tasks
- Build RAG pipelines
- Build unit integration and end to end tests
- Deploy and monitor AI applications
- Design AI applications
- Develop AI agent services
- Develop AI powered software products
- Develop React and Next js interfaces
- Document architectures and APIs
- Expose AI capabilities via REST APIs
- Implement backend services for AI capabilities
- Integrate REST GraphQL and gRPC endpoints
- Integrate machine learning and generative models
- Monitor performance and user adoption
- Optimize infrastructure and LLM utilization
- Set up CI/CD pipelines
Perks/Benefits
- Flexible working
- Health and wellness coverage
- Leave programs
- Recognition and incentive programs
- Retirement and savings plans
- Work-life balance support
Skills/Tech-stack
AWS | AWS Bedrock | Autogen | Azure | Azure OpenAI | CI/CD | Docker | FastAPI | Flask | GCP | GRPC | GenAIOps | GraphQL | JavaScript | Kubernetes | LLMOps | Langchain | Langgraph | Next.js | Node.js | Prompt Optimization | PyTorch | Python | RAG | REST | React | Semantic Kernel | TensorFlow | TypeScript | Vector Databases
Education
N/A
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