AI Engineer (Fluent in Spanish & English)
Tasks
- Architect and optimize inference pipelines
- Build Retrieval Augmented Generation systems
- Build and maintain real time AI pipelines
- Collaborate with business analysts on technical implementation
- Deploy and orchestrate models with microservices
- Implement quantization caching and efficient batching
- Monitor and secure production AI systems
- Optimize semantic search with vector databases
- Train and fine-tune large language models
Perks/Benefits
- Annual leave
- Comprehensive learning and development
- Employee assistance program
- Employee share purchase plan
- Hybrid working
- Life assurance
- Pension scheme
- Private medical cover
- Subsidised gym membership
Skills/Tech-stack
ASR | Batching | CI/CD | CUDA | Caching | Deep learning | Docker | GPU Architecture | Inference Optimization | Integration Testing | Kubernetes | Language Models | Large Language Models | Linux | LoRA | MLOps | Machine Learning | Microservices | PEFT | Prompt engineering | Python | QLoRA | Quantization | Retrieval-Augmented Generation | SSE | Semantic Search | TGI | TTS | Triton | Unit Testing | VLLM | Vector Databases | WebSockets
Education
N/A
Roles
AI | AI Engineer | Engineer
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