AI Engineer
Tasks
- Add observability and monitoring
- Build MCP servers and clients
- Build evals for production models
- Create API endpoints for AI capabilities
- Design agentic systems
- Develop Python backend services
- Implement LLM features
- Maintain RAG pipelines
Perks/Benefits
Skills/Tech-stack
AI RMF | AWS | Amazon Bedrock | Anthropic | Azure | Azure OpenAI | CI/CD | Cloud platform | Docker | Embeddings | Evals | FastAPI | FedRAMP | Flask | Function Calling | Google Cloud | Google Cloud Platform | Kubernetes | LLM | MCP | NIST AI | NIST AI RMF | Node.js | Observability | OpenAI | PGVector | Pinecone | Prompt engineering | Python | Qdrant | RAG | Reranking | Retrieval | SQL | Structured Output | Tool-Calling | TypeScript | Vector Databases | Vertex AI | Weaviate
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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