Senior AI Platform Engineer
Tasks
- Build secure integrations between AI applications and enterprise data using APIs
- Contribute to platform architecture and engineering standards for reusable AI capabilities
- Deploy AI capabilities from prototyping to reliable production systems
- Design and build reusable platform capabilities for LLM applications and AI agents
- Develop frameworks libraries services SDKs and developer tooling for AI development
- Develop scalable data and knowledge pipelines for ingestion and retrieval
- Ensure AI platform compliance with security privacy authentication authorization access control and data governance
- Establish standards and patterns for AI deployment observability evaluation and monitoring
- Evaluate emerging AI models frameworks and infrastructure technologies
- Measure AI quality accuracy latency reliability security and cost
Perks/Benefits
- Asynchronous collaboration
- Flexible parental leave
- Fully remote
- Inclusive environment
- International distributed team
- Mental health support
- Paid time off
- Professional growth
- Technical ownership
- 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 Pipelines | Data Quality | Databricks | Embeddings | Evaluation | Generative AI | LLM | Langchain | Langgraph | Monitoring | Observability | Privacy | Python | RAG | SQL | Security | Snowflake | Tool-Calling | Vector Databases | Vector Search
Education
N/A
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