AI Engineer
Tasks
- Build RAG pipelines
- Build monitoring pipelines
- Conduct statistical experiments
- Deploy AI solutions on cloud
- Design and build AI agents
- Develop supervised and unsupervised machine learning models
- Evaluate Generative AI performance
- Implement API connectors
- Implement safety layers and input validation
- Monitor latency in production
Perks/Benefits
- Dental insurance
- Flexible work schedule
- Health insurance
- Paid parental leave
- Paid time off
- Relocation assistance
- Tuition assistance
- Visa sponsorship
- Vision insurance
Skills/Tech-stack
APIs | Agentic Workflows | Arize Phoenix | BigQuery | Classification | Cloud Run | Clustering | GCP | Generative AI | Google ADK | Google Model Armor | Langchain | Langfuse | Langgraph | Language Models | Large Language Models | Machine Learning | Matplotlib | Model Armor | NumPy | Pandas | PyTorch | Python | RAG | Ragas | Regression | SQL | Scikit-learn | Statistics | Supervised Learning | TensorFlow | Unsupervised Learning | Vector Databases | Vertex AI
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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