Graduate AI Engineer
Tasks
- Build AI powered applications using LLMs
- Build backend services and APIs for AI applications
- Contribute to frontend applications using React
- Deploy AI solutions and monitor performance
- Design prompt engineering experiments and agent workflows
- Develop RAG solutions using vector databases embeddings and retrieval
- Evaluate new AI tools and frameworks
- Prototype AI driven solutions and iterate with feedback
- Write clean, maintainable, and well-tested code
Perks/Benefits
- Continued development opportunities
- Discretionary bonus scheme
- Enhanced maternity and paternity leave
- Flexible working
- Full onboarding support
- Hybrid working options
- Life assurance
- Pension contributions
- Private health cover
- Regular social activities
Skills/Tech-stack
APIs | Backend Development | Embeddings | Frontend Development | Generative AI | Git | Language Models | Large Language Models | Machine Learning | Prompt engineering | Python | React | Retrieval-Augmented Generation | Testing | Vector Databases | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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