AI Engineer
GBP 78K-93K (estimate) Senior-level Full Time
Tasks
- Apply prompt engineering
- Build LLM applications
- Build RAG-architectures
- Build model serving platforms
- Collaborate cross functionally on requirements
- Conduct code reviews
- Create unit tests
- Design AI and ML solutions
- Develop Agentic AI systems
- Develop production deployment workflows
- Develop scalable ML infrastructure
- Implement end-to-end MLOps
- Implement multi-agent orchestration
- Implement secure coding practices
- Monitor and evaluate AI systems
- Perform LLM fine-tuning
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Agent Orchestration | Azure | Cloud platform | Distributed Systems | GPU | Google Cloud | Google Cloud Platform | Knowledge graphs | LLM | Langchain | Langgraph | Llamaindex | MLOps | Machine Learning | Microservices | Model Serving | Observability | Prompt engineering | Python | RAG | SDKs | Secure Coding | Semantic Search | Unit Testing | Vector Database
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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