AI Engineer
GBP 81K-93K (estimate) Senior-level Full Time
Tasks
- Build RAG solutions
- Build data pipelines
- Clean and transform data
- Collaborate with business stakeholders
- Collect and extract data
- Communicate complex analysis
- Conduct evaluation and testing
- Deploy AI on AWS
- Deploy GenAI solutions
- Design statistical models
- Develop AI Agent workflows
- Develop backend APIs
- Develop machine learning models
- Identify data sources
- Implement MLOps and LLMOps
- Implement predictive models
- Integrate safety guardrails
- Manage risk and controls
- Monitor model performance
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | AWS Bedrock | AWS Cloud | AWS Lambda | Agentic AI | Amazon SageMaker | CI/CD | Chunking | Embeddings | Fine Tuning | Huggingface | LLMOps | Langchain | Langgraph | MLOps | Observability | OpenSearch | PGVector | Prompt engineering | Python | RAG | Reliability | Retrieval-Augmented Generation | Safety Guardrails | Scalability | Security | Vector Datastore | Vector Retrieval | Vector Search
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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