Senior AI Platform Engineer
Tasks
- Build secure integrations between AI applications and enterprise data using APIs
- Collaborate across engineering product and IT to translate business needs into technical solutions
- Create developer tooling and reusable AI libraries services and SDKs
- Design and build reusable platform capabilities for LLM applications
- Develop scalable data and knowledge pipelines
- Ensure AI platform compliance with security privacy authentication and access control
- Establish AI deployment observability evaluation monitoring and lifecycle standards
- Evaluate emerging AI models and infrastructure for business value
- Measure AI quality accuracy latency reliability security and cost
- Take AI systems from experimentation to production deployment
Perks/Benefits
- Asynchronous collaboration
- Distributed international team
- Flexible parental leave
- Fully Remote Working Environment
- Mental health and wellbeing support
- Paid time off
- Wellbeing allowance
- Work from home flexibility
- Work from home stipend
Skills/Tech-stack
AI Agents | AI Observability | APIs | AWS | Access Control | Airflow | Authentication | Authorization | DBT | Data Governance | Data Modeling | Data Pipelines | Data Quality | Databricks | Embeddings | Generative AI | LLM | LLM Evaluation | Langchain | Langgraph | Monitoring | Python | RAG | SQL | Security | Snowflake | Tool-Calling | Vector Database | Vector Search
Education
N/A
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