Lead Gen AI Engineer (GCP)
Tasks
- Build secure backend components
- Design architectural solutions for RAG
- Establish MLOps model versioning
- Implement API microservices integration
- Implement vector databases
- Lead end-to-end GenAI solution lifecycle
- Manage model performance and data drift
- Optimize prompts for accuracy and latency
- Provide technical mentorship and troubleshooting
- Set up continuous testing and monitoring
Perks/Benefits
- Flexible working
- Hybrid working
- Income protection insurance
- Parental leave
- Study leave
- Wellbeing program
Skills/Tech-stack
API | CI/CD | Cloud platform | Continuous Testing | GCP | Google Cloud | Google Cloud Platform | LLM | Langchain | Language Models | Large Language Models | MLOps | Microservices | Model Evaluation | Model versioning | Monitoring | Prompt Optimization | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Vector Database
Education
N/A
Roles
AI Engineer | Engineer | Gen AI Engineer | Generative AI Engineer | Lead | Lead Gen-AI Engineer
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