AI Engineer
Tasks
- Build AI-powered data pipelines
- Build reasoning workflows
- Build retrieval systems
- Design AI products end to end
- Ensure secure compliant auditable solutions
- Identify AI use cases with stakeholders
- Instrument solutions for quality and value
- Integrate with vendor AI platforms
- Reuse reusable AI components
- Run AI evaluation cycles
Perks/Benefits
- Career development
- Collaborative culture
- Daily lunch allowance
- Dedicated mentorship programs
- Fitness classes
- Gym access
- International exposure
- Learning platform
- Sabbatical program
- Volunteer opportunities
Skills/Tech-stack
AWS | Agents | Data Governance | Data Pipelines | Deep learning | DevOps | Evaluation | Information Retrieval | LLM | Language Processing | Machine Learning | Model Monitoring | Natural Language | Natural Language Processing | Python | RAG | Responsible AI | Retrieval-Augmented Generation | SDLC | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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