Related skills
python apis llm event-driven aws bedrockπ Description
- Design and deliver an AI chat moderator using LLMs.
- Build LLM based apps with AWS Bedrock and agent tech.
- Prototype and productionise LLM workflows in Python.
- Implement prompts, guardrails, and moderation strategies.
- Integrate LLM services into systems via APIs and event driven flows.
- Collaborate with engineers, product, and data teams.
π― Requirements
- Experienced LLM/AI engineer with production experience.
- Experience with AWS Bedrock and agent-based architectures.
- Experience building LLM-powered apps (chat, moderation).
- Strong Python skills for prototyping and production.
- Familiar with real-time systems and moderation approaches (nice to have).
- Collaborative with data scientists and engineers.
π Benefits
- 35 days leave (including bank holidays).
- Private medical insurance.
- Enhanced parental and adoption leave.
- Financial coaching + 5% pension match.
- 40 hours of paid learning and development.
- Flexible working including hybrid and remote options.
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