AI UX Engineer - 350PD - Remote
Required Technical Skills
- Experience with AWS Bedrock including model selection, deployment, and prompt engineering
- Agentic workflow development, ideally using AWS AgentCore
- Multi-agent orchestration frameworks such as AWS Strands Agents, LangGraph, or similar
- LLM integration and fine-tuning (Claude, GPT‑4, or equivalent)
- Strong prompt engineering skills, including chain‑of‑thought reasoning
RAG & Knowledge Systems
- Implementation of Retrieval‑Augmented Generation (RAG) pipelines
- Experience with vector databases such as CockroachDB, Pinecone, or similar
- Embedding model optimisation and semantic search
- Context window management and chunking strategies
MCP & Tool Integration
- Model Context Protocol (MCP) implementation
- LLM tool calling and API design
- AWS Lambda integration with agents
AI Safety & Evaluation
- Guardrail implementation (hallucination detection, toxicity filtering)
- Response evaluation frameworks and A/B testing
- Definition of AI performance metrics (accuracy, latency, user satisfaction)
Programming & Development
- Advanced Python
- AWS SDK (boto3)
- Infrastructure as Code awareness (CloudFormation/Terraform)
- Git and CI/CD for ML systems
UX Engineer - Skills & Requirements
Design & Prototyping
- Advanced Figma skills
- Wireframing, interactive prototyping, and design systems
- Responsive web and mobile design
Conversational UX
- Chatbot and conversational interface design
- Multi‑turn conversation flows and context management
- Error handling and recovery patterns
Frontend Development
- HTML, CSS, JavaScript/TypeScript
- React, Vue, or Angular
- Component‑based architecture and state management
- API integration and async data handling
AWS & Integration
- Basic AWS services (S3, CloudFront, API Gateway)
- Authentication (SSO, OAuth)
- WebSockets for real‑time chat
To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed) or at (url removed).