AI Engineer
Tasks
- Build text representation and semantic extraction pipelines
- Create prompt engineering workflows
- Deploy and monitor ML solutions
- Design LLM solutions for production
- Develop RAG systems
- Implement LLM models with agentic approaches
- Integrate LLM features into SaaS platform
- Perform data preparation and evaluation
Perks/Benefits
- Employee assistance program
- Flexible work options
- Medical/Dental/Vision insurance
- Paid time off
- Retirement savings plan
Skills/Tech-stack
Azure | CI/CD | Data Processing | Elasticsearch | Grafana | Infrastructure as Code | Language Models | Large Language Models | Machine Learning | Monitoring | Observability | Prometheus | Prompt engineering | Pydantic | Python | RAG | Retrieval-Augmented Generation | Semantic Extraction | Terraform | Text Representation | “as-code”
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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