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
#J-18808-Ljbffr