AI Engineer-Anthropic-University/Graduate Level - UK
Tasks
- Apply prompt and context engineering
- Apply responsible AI safeguards
- Build AI-enabled applications
- Build human in the loop review
- Conduct requirements gathering and demos
- Create agentic AI workflows
- Create embeddings and vector search
- Develop evaluation datasets and test cases
- Develop generative AI prototypes
- Implement RAG workflows
- Implement tool use function calling
- Improve reliability and user trust
- Integrate AI with ServiceNow
- Integrate LLM APIs
- Mitigate prompt injection risks
- Monitor model performance and latency
- Orchestrate workflow automation
- Perform code reviews and retrospectives
- Prepare and chunk documents
- Secure sensitive data access controls
- Use structured outputs
- Write maintainable secure code
Perks/Benefits
- N/A
Skills/Tech-stack
API | Cloud Computing | Data Privacy | Docker | Embeddings | Function Calling | Git | Human-in-the-loop | Java | JavaScript | LLM API | Langchain | Langgraph | Llamaindex | Machine Learning | Model Evaluation | Monitoring | Prompt engineering | Python | RAG | REST API | Retrieval-Augmented Generation | SQL | Security | Structured Output | The Loop | Tool use | TypeScript | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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