Senior AI Engineer - Tangerine
Tasks
- Build MLOps LLMOps pipelines
- Collaborate with data platform on feature stores and data products
- Deliver AI platform engineering solutions
- Design intelligent agents and inference tooling
- Develop real time batch hybrid AI pipelines
- Ensure platform resilience and operational readiness
- Execute AI ML model training deployment monitoring governance
- Implement RAG pipelines and context engineering
- Lead engineering project planning execution QA deployment support
- Mentor junior engineers and lead technical forums
- Perform monitoring proactive issue detection root cause analysis
- Promote coding platform architecture DevOps CI CD observability test automation incident response best practices
Perks/Benefits
- Flexible workspace
- Inclusive work environment
- Online and in-person courses
- Savings plan
- Wellbeing support
Skills/Tech-stack
AI Governance | Agentic AI | Amazon Web Services | CI/CD | Cloud Computing | Cloud platform | Compliance | Container Orchestration | Context engineering | DevOps | Feature Stores | Generative AI | Google Cloud | Google Cloud Platform | Incident Response | Kubernetes | LLMOps | MLOps | Machine Learning | Microsoft Azure | Model Deployment | Model Monitoring | Model Training | Observability | Reliability | Retrieval-Augmented Generation | Security | Test automation | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Technology
Roles
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