Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and deploy cutting-edge AI models using AWS and generative AI technologies.
- Company: Join a forward-thinking tech company focused on AI innovation.
- Benefits: Fully remote work, competitive pay, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and make a real impact in the field.
- Qualifications: Advanced Python skills and experience with AWS and AI model integration.
- Other info: Exciting projects with potential for career advancement in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
Start: 13th Jan
Duration: 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.
AI Engineer in London employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space on LinkedIn or join relevant online communities. We can’t stress enough how personal connections can lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS and generative AI. We love seeing practical examples of what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for talented individuals like you!
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS and generative AI. We want to see how your skills match the job description, so don’t be shy about showcasing your relevant projects!
Showcase Your Technical Skills: When listing your technical skills, focus on those mentioned in the job description like LLM integration and prompt engineering. We love seeing specific examples of how you've used these technologies in your past work.
Keep It Clear and Concise: We appreciate a well-structured application. Keep your CV and cover letter clear and to the point. Use bullet points for easy reading and make sure to highlight your key achievements!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Jefferson Frank
✨Know Your Tech Inside Out
Make sure you’re well-versed in AWS and generative AI technologies. Brush up on your experience with AWS Bedrock, multi-agent orchestration frameworks, and large language models like GPT-4. Be ready to discuss specific projects where you've implemented these skills.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate your understanding of prompt engineering and chain-of-thought reasoning. Think of examples where you’ve tackled complex problems using RAG pipelines or vector databases, and be ready to explain your thought process clearly.
✨Familiarise Yourself with AI Safety Practices
Since AI safety is crucial, be prepared to talk about guardrail implementation and response evaluation frameworks. Have examples ready that showcase your experience with hallucination detection and toxicity filtering, as well as how you measure success in AI systems.
✨Practice Your Coding Skills
As an AI Engineer, coding proficiency is key. Brush up on your Python skills and be ready to discuss your experience with AWS SDK and CI/CD integration. Consider doing some coding challenges beforehand to keep your skills sharp and demonstrate your technical prowess.
