AI Engineer
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
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