At a Glance
- Tasks: Build and deploy AI workflows, support AWS solutions, and integrate contact centre features.
- Company: Join Rel8, an innovative AWS Advanced Partner focused on AI solutions.
- Benefits: Flexible part-time work with international project opportunities.
- Other info: Dynamic team environment with a focus on growth in AI technology.
- Why this job: Work on cutting-edge AI projects and enhance your AWS skills.
- Qualifications: Strong AWS AI credentials and 3+ years of hands-on experience required.
The predicted salary is between 50000 - 70000 £ per year.
Rel8 is an AWS Advanced Partner specialising in Agentic AI and Amazon Connect CX solutions. We deliver AI-powered contact centre and automation projects for regulated financial services clients across the UK and Europe.
We are looking for a freelance AWS AI Engineer to join our delivery team on a flexible, part-time basis. You will work alongside our senior engineers on AWS Bedrock AgentCore projects, agentic AI deployments, and Amazon Connect implementations. This role suits someone with strong AWS AI credentials who wants varied international project work with a growing AI-focused partner.
Responsibilities
- Build and deploy agentic AI workflows using the Strands Agents framework
- Support delivery of AWS Bedrock AgentCore solutions
- Contribute to infrastructure-as-code (AWS CDK) for client deployments
- Support Amazon Connect integrations and contact centre AI features
- Participate in technical solution reviews
Required Certifications (at least one of the following)
- AWS Certified Generative AI Developer - Professional (preferred)
- AWS Certified Machine Learning - Specialty
- AWS Certified Solutions Architect - Professional
- AWS Certified DevOps Engineer - Professional
Plus at least one Associate-level certification:
- AWS Certified Machine Learning Engineer - Associate
- AWS Certified Solutions Architect - Associate
- AWS Certified Developer - Associate
Required Experience
- 3+ years hands-on AWS experience
- Hands-on experience with AWS Bedrock and foundation models
- Experience with serverless architectures (Lambda, DynamoDB, S3, SNS)
- Familiarity with AWS CDK or CloudFormation
- Strong written English
Desirable Experience
- AWS Bedrock AgentCore - agent deployment and runtime
- Claude Code and AI-assisted development workflows
- Multi-agent architectures (orchestration, tool use, agent-to-agent)
- Amazon Connect or contact centre technology
- Financial services projects
To apply, send your CV to hello@rel8.cx
AWS AI Engineer - Freelance / Part-Time in London employer: Rel8
Rel8 is an exceptional employer for those seeking a flexible and dynamic work environment, particularly in the innovative field of AI. As a remote company with a focus on international projects, we offer our freelance AWS AI Engineers the opportunity to collaborate with senior engineers on cutting-edge solutions while enjoying the freedom of part-time work. Our commitment to employee growth and a culture that values creativity and collaboration makes Rel8 a rewarding place to advance your career in AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land AWS AI Engineer - Freelance / Part-Time in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AWS community or related fields. Attend meetups, webinars, or online forums where you can chat with industry folks. You never know who might have a lead on that perfect freelance gig!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AWS projects, especially those involving AI and automation. This will give potential clients a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Don’t just apply, engage! When you find a role that excites you, reach out directly to the hiring team via LinkedIn or email. Express your enthusiasm for the position and share how your experience aligns with their needs. It’s all about making that personal connection!
✨Tip Number 4
Keep an eye on our website! We regularly post freelance and part-time opportunities that might be right up your alley. Applying through our site not only streamlines the process but also shows you’re genuinely interested in joining our team.
We think you need these skills to ace AWS AI Engineer - Freelance / Part-Time in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your AWS AI experience and relevant certifications. We want to see how your skills match the role, so don’t be shy about showcasing your hands-on projects!
Showcase Your Projects:Include specific examples of your work with AWS Bedrock and agentic AI. We love seeing real-world applications, so share any interesting projects you've been involved in that relate to the job description.
Keep It Clear and Concise:When writing your application, clarity is key! Use straightforward language and avoid jargon unless it’s relevant. We appreciate a well-structured application that gets straight to the point.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Rel8
✨Know Your AWS Stuff
Make sure you brush up on your AWS knowledge, especially around Bedrock and serverless architectures. Be ready to discuss your hands-on experience and any projects you've worked on that relate to the role.
✨Showcase Your Certifications
Highlight your relevant AWS certifications during the interview. If you have the preferred Generative AI Developer certification, make it a focal point, as it shows you're serious about the role and have the necessary skills.
✨Prepare for Technical Questions
Expect technical solution reviews and be prepared to dive deep into your past projects. Think of specific examples where you contributed to AWS deployments or agentic AI workflows, and be ready to explain your thought process.
✨Communicate Clearly
Since strong written English is required, practice articulating your thoughts clearly and concisely. This will not only help in the interview but also show that you can communicate effectively with clients and team members.
