Senior AI Platform Engineer
Tasks
- Build secure integrations using APIs
- Create developer frameworks libraries services and SDKs
- Design and build reusable platform capabilities for LLM applications
- Develop scalable data and knowledge pipelines
- Ensure AI platform security privacy authentication authorization access control and governance
- Establish AI deployment observability evaluation and lifecycle standards
- Evaluate AI models frameworks and infrastructure for business value
- Measure AI quality accuracy latency reliability security and cost
- Migrate AI capabilities from prototyping to production deployment
- Translate ambiguous business needs into technical solutions
Perks/Benefits
- Asynchronous collaboration model
- Flexible parental leave
- Fully remote work
- International distributed team
- Mental health support
- Paid time off
- Wellbeing allowance
- Work from home flexibility
- Work from home stipend
Skills/Tech-stack
AI Agents | API | AWS Bedrock | Access Control | Airflow | Authentication | Authorization | DBT | Data Governance | Data Modeling | Data Quality | Data pipeline | Databricks | Embeddings | Evaluation | Generative AI | LLM | Langchain | Langgraph | Latency | MCP | Model Context Protocol | Monitoring | Observability | Privacy | Python | RAG | Reliability | SQL | Security | Snowflake | Tool-Calling | Vector Database | Vector Search
Education
N/A
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