Senior AI Engineer
Tasks
- Build agentic pipelines orchestration tool use parallelisation failure handling
- Define evaluation methodology metrics experiments thresholds
- Design LLM powered features end to end
- Make model provider decisions cost latency capability tradeoffs
- Optimize LLM features cost and performance
- Scope product opportunities in technical layer
- Write backend code and support production monitoring
Perks/Benefits
Skills/Tech-stack
AWS | Agentic pipelines | Amazon Web Services | Docker | Driven systems | Event Driven | Event Driven Systems | Failure handling | GraphQL | Kubernetes | Language Models | Large Language Models | Microservices | Model Evaluation | Node.js | Orchestration | Output parsing | Parallelization | PostgreSQL | Prompt engineering | React | Tool use | TypeScript | Web Services
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Senior AI Engineer
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