AWS & Generative AI Engineer

Tenth Revolution Group; Remote; GBP 100,000 - 125,000; Part time

Job summary

A leading technology consulting firm is looking for an AWS & Generative AI Engineer for a 14-week contract. You will design generative AI workflows using AWS, develop multi-agent orchestration frameworks, and fine-tune LLMs for production use. This role offers a competitive rate of £350 per day and is fully remote, allowing you to manage your work environment effectively. Immediate interviews are available, providing the chance to secure this role before Christmas.

Benefits

Fully remote

Outside IR35

Competitive day rate

Qualifications

• Proficiency with AWS Bedrock and cloud services.
• Experience designing generative AI workflows.
• Strong background in Python programming and ML systems.

Responsibilities

• Design and implement Generative AI workflows using AWS.
• Develop multi-agent orchestration frameworks.
• Integrate and fine-tune LLMs for production use.

Skills

AWS Bedrock

Multi-agent orchestration

RAG pipeline development

Advanced Python

Experience with foundation models

Prompt engineering

AI safety frameworks

Tools

AWS SDK (boto3)

CockroachDB

Pinecone

Job description

AWS & Generative AI Engineer - 14-Week Contract (Outside IR35)

Start Date: 12th January
Rate: £350 per day
Location: Remote (UK-based)
Interview: Immediate - Offer before Christmas

Key Responsibilities

• Design and implement Generative AI workflows using AWS Bedrock and AgentCore.
• Develop multi-agent orchestration frameworks (AWS Strands Agents, LangGraph, or similar).
• Integrate and fine‑tune LLMs (Claude, GPT‑4, or similar) for production use.
• Build RAG pipelines with vector databases and semantic search optimisation.
• Implement Model Context Protocol (MCP) and tool integration for LLMs.
• Ensure AI safety through guardrails, hallucination detection, and response evaluation.
• Deploy and manage AWS Lambda, API interfaces, and CI/CD for ML systems.

Required Skills

• AWS Bedrock (model selection, deployment, prompt engineering).
• Agentic workflows and multi‑agent orchestration.
• RAG pipeline development and embedding optimisation.
• Advanced Python and AWS SDK (boto3).
• Experience with Claude, GPT‑4, or similar foundation models.
• Prompt engineering and chain‑of‑thought reasoning.
• AI safety frameworks and evaluation metrics.

Beneficial Experience

• CockroachDB, Pinecone, or similar vector databases.
• Infrastructure as Code (CloudFormation/Terraform).
• CI/CD integration for ML systems.
• API design for LLM tool interfaces.

Why Apply?

• Fully remote
• Outside IR35
• Competitive day rate
• Immediate interviews – secure your next role before Christmas