AI Engineer
Tasks
- Build agentic workflows
- Contribute to reusable AI components
- Create technical documentation and design artefacts
- Define AI engineering standards
- Design AI system architecture
- Design Generative AI applications
- Develop APIs and backend services
- Develop LLM-powered solutions
- Ensure code quality and version control
- Implement RAG systems
- Implement evaluation monitoring and observability
- Improve AI solution performance
- Integrate AI applications
- Integrate tools and multi agent architectures
- Participate in deployment and testing
- Promote AI adoption
- Support demonstrations and workshops
Perks/Benefits
Skills/Tech-stack
API Development | Agent systems | CI/CD | Docker | FastAPI | Git | Human-in-the-loop | LLM Evaluation | Language Models | Large Language Models | Multi-Agent | Multi-Agent Systems | Observability | Poetry | Prompt engineering | Python | RAG | React | Retrieval-Augmented Generation | SQL | The Loop | Tool-Calling | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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