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AI Engineer

Tenth Revolution Group

Remote

GBP 50,000 - 90,000

Part time

Today
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Job summary

A leading technology firm is seeking an experienced AI Engineer for a fully remote, 14-week contract starting on January 13th. The ideal candidate will possess advanced skills in AWS Bedrock, large language models, and RAG implementations. Key responsibilities include tool integration and evaluation frameworks for AI systems. Additionally, proficiency in Python and AWS SDK is required. Interested individuals should submit their CV for consideration.

Skills

AWS Bedrock experience
Agentic workflow experience
Multi-agent orchestration frameworks
Large Language Model integration
Experience with foundation models
Prompt engineering
Retrieval-Augmented Generation pipeline
Vector database experience
Context window management
Model Context Protocol implementation
Tool calling integration
Python
AWS SDK (boto3)
Git version control

Tools

AWS Lambda
CloudFormation
Terraform
Job description
AI Engineer

Start 13th Jan

14 week Contract

Fully remote

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

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