Senior AI Platform Engineer
Tasks
- Build secure integrations between AI applications and enterprise systems
- Define technical patterns reusable capabilities and governance standards for AI development
- Deploy AI capabilities from prototype to production
- Design and build reusable platform capabilities for LLM applications
- Develop reusable frameworks libraries services and SDKs
- Develop scalable data and knowledge pipelines
- Ensure AI platform compliance with security and data governance
- Establish AI deployment observability and evaluation standards
- Evaluate emerging AI models and infrastructure technologies
- Measure AI quality accuracy latency reliability security and cost
Perks/Benefits
- Asynchronous collaboration
- Distributed international team
- Flexible parental leave
- Fully remote
- Mental health support
- Paid time off
- Wellbeing allowance
- Work from home stipend
Skills/Tech-stack
AI Agents | API | APIs | AWS Bedrock | Access Control | Airflow | Authentication | Authorization | DBT | Data Governance | Data Modeling | Data Pipelines | Data Quality | Databricks | Embeddings | Evaluation | Generative AI | LLM | Langchain | Langgraph | MCP | Monitoring | Observability | Privacy | Python | RAG | SDKs | SQL | Snowflake | Tool-Calling | Vector Databases | Vector Search
Education
N/A
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