GenAI Platform Engineer (Python, MCP & Agentic AI)
Tasks
- Build agent orchestration workflows
- Create technical documentation
- Design GenAI services
- Develop MCP integrations
- Develop secure production APIs
- Implement authentication and authorization
- Implement rag pipelines
- Integrate financial data sources
- Set up logging monitoring and testing
- Validate model outputs
Perks/Benefits
- 401k retirement plan
- Company-Paid Holidays
- Employee assistance program
- Life and disability insurance
- Medical/Dental/Vision insurance
- Paid time off
Skills/Tech-stack
API Development | AWS | Async Python | Authentication | Authorization | CI/CD | Chroma | Containerization | Docker | Embeddings | FastAPI | Generative AI | Git | LLM orchestration | Langchain | Langgraph | Logging | MCP | Model Context Protocol | Monitoring | Observability | OpenAI Evaluation | OpenSearch | OpenTelemetry | PGVector | Pinecone | Prompt management | Python | RAG | REST | Retrieval Quality | Secrets management | Testing | Tokenization | Vector Databases | Vector Search | Weaviate
Education
Roles
AI | AI Platform Engineer | Engineer | GenAI Platform Engineer | Platform Engineer
Regions
Countries
States
Cities
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