AI Engineer
Posted 1 day ago by Tenth Revolution Group
£300 Per day
Undetermined
Remote
City of London, London
Summary: The AI Engineer role focuses on leveraging AWS and Generative AI technologies to implement advanced AI systems. Key responsibilities include developing and integrating large language models, managing retrieval-augmented generation pipelines, and ensuring AI safety and evaluation. The position requires strong programming skills, particularly in Python, and familiarity with AWS services. This is a fully remote contract position starting on January 13th for a duration of 14 weeks.
Key Responsibilities:
- Implement AWS Bedrock for model selection, deployment, and prompt engineering.
- Develop agentic workflows and multi-agent orchestration frameworks.
- Integrate and fine-tune large language models (LLMs) such as Claude and GPT-4.
- Design and implement Retrieval-Augmented Generation (RAG) pipelines.
- Manage vector databases and semantic search functionalities.
- Implement Model Context Protocol (MCP) and integrate tools with LLMs.
- Establish guardrails for AI safety and evaluate AI responses.
- Utilize Python and AWS SDK for development and CI/CD integration.
Key Skills:
- Advanced Python programming.
- Experience with AWS services, particularly AWS Bedrock and Lambda.
- Knowledge of Retrieval-Augmented Generation (RAG) and vector databases.
- Familiarity with large language models and prompt engineering.
- Understanding of AI safety measures and evaluation frameworks.
- Experience with Infrastructure as Code (CloudFormation/Terraform).
- Proficient in Git version control and CI/CD practices.
Salary (Rate): £300/day
City: City of London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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