Senior AI Platform Engineer
Tasks
- Build data pipelines for embeddings and retrieval
- Create developer tooling for AI application development
- Define deployment observability and evaluation standards
- Deploy AI from prototyping to production
- Design reusable platform capabilities for LLM applications
- Develop secure integrations using APIs
- Evaluate emerging AI models frameworks and infrastructure
- Implement security privacy authentication authorization and access control
- Measure AI quality accuracy latency reliability security cost
- Translate ambiguous business needs into technical solutions
Perks/Benefits
- Asynchronous collaboration
- Flexible parental leave
- Fully remote
- International distributed team
- Mental health support
- Paid time off
- Wellbeing allowance
- Work from home
- 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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