AI Engineer

Jefferson Frank; Remote; GBP 50,000 - 70,000; Part time

Job summary

A leading recruitment agency is seeking an experienced AI Engineer to develop sophisticated AI solutions with a primary focus on AWS and generative AI technologies. The ideal candidate will have advanced skills in Python and experience with Large Language Models like Claude and GPT-4. This position is fully remote and offers a contract lasting 14 weeks, perfect for professionals looking to leverage their expertise in AI safety, evaluation, and tool integration.

Qualifications

• Experience with Claude, GPT-4, or similar foundation models.
• Guardrail implementation for AI safety.
• Knowledge in CI/CD integration for ML systems.

Responsibilities

• Develop models using AWS and generative AI techniques.
• Implement retrieval-augmented generation pipelines.
• Design and evaluate metrics for AI system performance.

Skills

AWS Bedrock experience

Prompt engineering

Multi-agent orchestration

Large Language Model integration

Python (advanced)

API design for LLM tool interfaces

Tools

AWS SDK (boto3)

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

Please send me your CV if you're interested