AI Engineer
Tasks
- Architect retrieval-augmented generation systems
- Build LLM agent systems
- Collaborate cross functionally to integrate AI solutions
- Create AI evaluation frameworks
- Design and build production grade LLM systems
- Implement API based prompt workflows
- Optimize AI systems for cost latency and reliability
- Own end to end delivery of AI features
- Provide technical guidance to engineers
- Run LLM regression testing with golden sets
Perks/Benefits
- Business travel coverage
- Employee stock options ESOP where applicable
- Equipment allowance
- Health and dental coverage
- Internet reimbursement
- Learning and development budget
- Paid time off
- Remote and hybrid work options
- Retirement savings programs
Skills/Tech-stack
API Design | Agent architecture | CI/CD | Cost Optimization | Docker | Git | LLM Evaluation | Language Models | Large Language Models | Latency optimization | Observability | Planning | Prompt engineering | Python | React | Regression testing | Reliability Engineering | Retrieval-Augmented Generation | System design | Tool-Calling
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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