Senior AI Platform Engineer - Technology R&D
Tasks
- Apply prompt engineering and context engineering
- Architect AI automation applications and agents
- Build automation pipelines integrating APIs and enterprise systems
- Build fine tuning pipelines
- Conduct A B testing experimentation
- Conduct security reviews for integrations
- Coordinate multi agent automation systems
- Create evaluation datasets test suites
- Create reusable automation components libraries
- Define benchmarking methods success metrics
- Design audit logging compliance monitoring
- Design end-to-end automation workflows
- Develop evaluation frameworks for accuracy reliability performance
- Drive AI automation roadmap and technology strategy
- Establish coding standards and architecture guidelines
- Establish model versioning deployment rollback
- Implement document processing data extraction content generation
- Implement monitoring observability dashboards alerting
- Implement retrieval augmented generation and knowledge base integration
- Implement secure credential management access control
- Mentor engineers and lead technical design reviews
- Optimize model inference for latency and cost
- Optimize n8n workflow performance
- Perform root cause analysis and remediation
- Select and evaluate LLMs and SLMs
- Translate business requirements into technical automation solutions
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | API Integration | AWS Lambda | AWS Step Functions | Alerting | Amazon EventBridge | Amazon SQS | Audit Logging | B testing | CI/CD | Context engineering | DevOps | Embeddings | Git | Inference Optimization | LLM | LLM Inference | LLM Inference Optimization | Monitoring | N8n | Observability | Prompt engineering | Python | RAG | REST API | Retrieval-Augmented Generation | SLM | Step Functions | Vector Databases | Webhooks
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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