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: 3+ years AWS experience and relevant certifications required.
The predicted salary is between 40 - 60 £ per hour.
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 employer: Rel8
Rel8 is an exceptional employer for those seeking a flexible and dynamic work environment, particularly in the realm of AI and cloud solutions. With a focus on international projects and a commitment to employee growth, we offer opportunities to collaborate with senior engineers on cutting-edge technologies while enjoying the freedom of remote work. Our culture fosters innovation and creativity, making it an ideal place for talented individuals to thrive in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land AWS AI Engineer - Freelance / Part-Time
✨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 and get your name out there.
✨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. A friendly message expressing your interest can make a big difference.
✨Tip Number 4
Keep learning and stay updated! The tech world moves fast, especially in AI. Follow relevant blogs, take online courses, and get those certifications to keep your skills sharp and relevant.
We think you need these skills to ace AWS AI Engineer - Freelance / Part-Time
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.
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:While you can send your CV to hello@rel8.cx, we encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any updates!
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 AWS certifications during the interview. Make a list of how each one relates to the job and be prepared to explain how they’ve helped you in past projects.
✨Prepare for Technical Questions
Expect technical questions about agentic AI workflows and Amazon Connect integrations. Practise explaining complex concepts in simple terms, as this will show your understanding and communication skills.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the team, projects, or company culture. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
