Applied AI Engineer (Hybrid work schedule)
Tasks
- Build APIs and integration layers
- Build and maintain RAG pipelines
- Contribute to architecture decisions for scalability and maintainability
- Create prompt orchestration workflows
- Define and implement evaluation frameworks
- Design develop deploy LLM based AI solutions into production
- Develop AI-driven automation systems
- Develop scalable inference services
- Integrate AI systems with cloud data platforms
- Investigate and resolve system and data challenges across AI pipelines
- Maintain documentation and reproducibility across AI systems
- Partner with business stakeholders to translate operational challenges into measurable AI solutions
Perks/Benefits
- Casual dress code
- Employee assistance programs
- Hybrid work schedule
- On-demand pay options
- Paid Holidays
- Paid parental leave
- Paid sick time off
- Paid time off
- Professional development opportunities
- Quarterly profit-sharing bonus
- Team member appreciation events
- Volunteer opportunities
- Work-life balance
Skills/Tech-stack
APIs | Automation | Cause analysis | Cloud Platforms | Data Pipelines | Evaluation Frameworks | Inference services | Language Models | Large Language Models | MLOps | Machine Learning | Monitoring | Observability | Prompt engineering | Prompt orchestration) | Python | Retrieval-Augmented Generation | Root Cause Analysis | Root cause
Education
N/A
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