AI Engineer
Tasks
- Apply responsible AI privacy and governance controls
- Build end-to-end AI agents
- Communicate project status and outcomes
- Create reusable code patterns and component libraries
- Define feature requirements and create training datasets
- Deploy AI workflow automations
- Develop evaluation harnesses and model pipelines
- Integrate AI tools with enterprise systems via APIs
- Integrate LLM APIs into workflows
- Maintain technical documentation and runbooks
- Monitor performance and triage failures
- Operate deployed AI agents
- Optimize inference performance and cost
- Write production Python code
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Batching | CI/CD | Caching | Deployment Strategies | Experiment tracking | LLM APIs | Model Registry | Monitoring | Observability | Prompt engineering | PyTorch | Python | Quantization | TensorFlow | Testing | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Data Science | Master of Science
Roles
AI | AI Engineer | Engineer
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