Senior AI Engineer
Tasks
- Build AI powered product and internal solutions with LLMs
- Deploy and monitor AI systems
- Design evaluation frameworks for AI systems
- Design failure analysis and quality monitoring
- Develop inference pipelines with scalability and reliability
- Improve AI systems through continuous improvement
- Integrate AI into backend and product workflows
- Own AI systems end to end
Perks/Benefits
- Employee support and wellness
- Hybrid work model
- Professional development opportunities
- Relocation support
- Remote work flexibility
- Stock options program
- Travel reimbursement
- Work and Swim program
Skills/Tech-stack
APIs | AWS | Agent workflows | Azure | Cost Optimization | Docker | Experimentation | Fine Tuning | GCP | Guardrails | Kubernetes | LLM Evaluation | Language Models | Large Language Models | Latency optimization | Model Fine-tuning | Monitoring | NoSQL | Observability | Prompt engineering | Python | RAG | Retrieval | SQL | Security | Structured outputs | Tool-Calling | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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