AI Engineer – AI Engineering & Platforms (AI Centre of Excellence)
Tasks
- Apply security privacy and safety controls
- Build AI services and components
- Build data pipelines for AI use cases
- Build reusable AI building blocks APIs and templates
- Collaborate with product teams on discovery and delivery
- Define grounding strategies using embeddings and vector search
- Deploy and manage AI services
- Design AI solution designs
- Implement AI evaluation and testing
- Implement LLM-powered features
- Implement MLOps CI CD and observability
- Implement retrieval-augmented generation
Perks/Benefits
- N/A
Skills/Tech-stack
Apollo Server | Automated testing | Azure | CI/CD | DBT | Docker | Embeddings | Event Driven | Event-driven architecture | Express | Feature Store | Git | Google Cloud | GraphQL | Guardrails | Infrastructure as Code | JavaScript | Kubernetes | LLMOps | Logging | Metrics | Microservices | Model Registry | NestJS | Node.js | Prompt engineering | Python | REST | React | Retrieval-Augmented Generation | Snowflake | System design | Terraform | Tracing | TypeScript | Vector Search | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer
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