Required Technical Skills AWS & Generative AI: - AWS Bedrock experience (model selection, deployment, prompt engineering) - Agentic workflow experience ideally based on AWS AgentCore - Multi-agent orchestration frameworks (AWS Strands Agents, LangGraph, or similar) - Large Language Model (LLM) integration and fine-tuning - Experience with Claude, GPT-4, or similar foundation models - Prompt engineering and chain-of-thought reasoning RAG & Knowledge Systems: - Retrieval-Augmented Generation (RAG) pipeline implementation - Vector database experience (CockroachDB, Pinecone, or similar) - Embedding model selection and optimisation - Semantic search and similarity matching - Context window management and chunking strategies MCP & Tool Integration: - Model Context Protocol (MCP) implementation - Tool calling and function integration with LLMs - API design for LLM tool interfaces - AWS Lambda integration with agents AI Safety & Evaluation: - Guardrail implementation (hallucination detection, toxicity filtering) - Response evaluation framework design - A/B testing for AI systems - Metrics definition (accuracy, latency, user satisfaction) Programming & Development: - Python (primary) - advanced level - AWS SDK (boto3) - Infrastructure as Code awareness (CloudFormation/Terraform) - Git version control - CI/CD integration for ML systems Start 13th Jan 14 week Contract Fully remote Please send me your CV if you're interested