Applied AI Engineer
Tasks
- Add security guardrails
- Build Generative AI features
- Build MLops pipelines
- Create audit trails
- Design multi-agent systems
- Develop LLM copilots
- Develop autonomous agents
- Develop predictive models
- Evaluate model performance
- Identify AI use cases for accounts receivable
- Implement human in the loop flows
- Improve user impact
- Integrate AI features into product
- Set up AI demos
- Train, deploy, and monitor models
Perks/Benefits
- Hybrid work
- Mental health counseling
- Paid volunteer time off
- Subsidized Wellhub membership
- Unlimited PTO
Skills/Tech-stack
AWS | Agent systems | Authentication | Autonomous Agents | Azure | CI/CD | Cloud platform | Deep learning | GitHub | GitLab | Google Cloud | Google Cloud Platform | HTTP | Human-in-the-loop | JSON | Java | LLM | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Monitoring | Multi-Agent | Multi-Agent Systems | NLP | Natural Language | Natural Language Processing | Orchestration | Predictive Modeling | PyTorch | Python | R | REST APIs | Routing | Scikit-learn | Statistics | TensorFlow | The Loop | Version control
Education
N/A
Roles
AI | AI Engineer | Applied AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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