AI Engineer (Amazon Bedrock)
Edinburgh, Leeds, Manchester or London
GBP 61K-95K (estimate) Senior-level Full Time
Tasks
- Add observability and tracing with CloudWatch
- Apply A2A protocol for agent interoperability
- Architect RAG pipelines with Amazon Bedrock Knowledge Bases
- Build and maintain MCP servers for agent capabilities
- Build serverless backends with AWS Lambda DynamoDB and S3
- Collaborate with clients to translate requirements into agent architectures
- Design production agentic AI systems on Amazon Bedrock
- Implement multi agent orchestration and memory management
- Integrate LLMs using prompt engineering and function tool calling
- Integrate tools using Amazon Bedrock AgentCore and Strands Agents
- Manage vector stores embeddings and document ingestion from S3
Perks/Benefits
- Enhanced Adoption Leave
- Enhanced parental leave
- Financial coaching
- Flexible working
- Hybrid work
- Paid learning and development
- Paid time off
- Pension match
- Private medical insurance
- Remote work
Skills/Tech-stack
AWS Lambda | Agent systems | Agentic AI | Amazon Bedrock | Amazon DynamoDB | Amazon S3 | CloudWatch | Context window | Context window management | Document ingestion | Embeddings | Function Calling | Logging | MCP | Model Context Protocol | Model Inference | Multi-Agent | Multi-Agent Systems | Observability | Output parsing | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Tool-Calling | Tracing | Vector Databases | Window management
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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