Senior AI Engineer
Tasks
- Build AI powered product solutions using LLMs
- Collaborate to integrate AI into real workflows
- Design evaluation frameworks for AI systems
- Develop inference pipelines
- Improve AI systems through iteration and failure analysis
- Integrate AI into backend and product workflows
- Monitor AI systems in production
- Own AI systems end to end
Perks/Benefits
- Hybrid work model
- Professional development
- Relocation support
- Remote work flexibility
- Stock options program
- Supportive work culture
- Travel flexibility
- Work and Swim program
Skills/Tech-stack
AWS | Agentic Workflows | Azure | Cost Optimization | Deployment | Docker | Evaluation | Fine Tuning | GCP | Guardrails | Kubernetes | LLM | Latency optimization | Monitoring | NoSQL | Observability | Prompt engineering | Python | RAG | SQL | Structured outputs | Tool use | Vector Databases
Education
N/A
Roles
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