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- Tasks: Enhance and stabilise an AI assistant platform using modern AWS technologies.
- Company: Join a fast-growing, equity-backed organisation at the forefront of AI innovation.
- Benefits: Fully remote contract with opportunities to work on cutting-edge GenAI projects.
- Other info: Dynamic environment with a commitment to diversity and inclusion.
- Why this job: Shape a greenfield GenAI platform and make a real impact in AI technology.
- Qualifications: Hands-on experience with AWS Bedrock and serverless architecture required.
The predicted salary is between 36000 - 60000 £ per year.
This is an opportunity to join an organisation at a pivotal stage in the evolution of their AI platform. With their in-house assistant creator only recently launched, the business is now investing heavily to strengthen the underlying architecture, introduce proper guardrails, and build a scalable, policy-driven GenAI capability. You will play a key role in shaping the next phase of the platform, working on modern AWS-native technologies in a fast-moving environment.
Responsibilities
- Enhance and stabilise the AI assistant platform built on React, AWS Lambda, Bedrock Knowledge Bases, and OpenSearch.
- Implement policy-driven development and consistent guardrails across the GenAI stack.
- Design and build LLM Gateway and MCP Gateway capabilities.
- Introduce robust logging and audit capabilities with data captured into S3.
- Improve state management, monitoring, and performance visibility across the platform.
- Work closely with architecture and engineering teams to integrate the solution into the wider SDLC.
- Help define best practice around deterministic versus agentic patterns and prompt injection protection.
Requirements
- Proven hands-on experience with AWS Bedrock in production environments.
- Deep knowledge of AWS serverless architecture including Lambda.
- Experience implementing Infrastructure as Code (Terraform, CloudFormation or similar).
- Strong understanding of LLM/RAG architectures and GenAI platform design.
- Experience introducing guardrails, monitoring, and secure data handling in AI systems.
- Ability to work in fast-paced environments with evolving technical direction.
What’s in it for me?
- Fully remote contract.
- Opportunity to shape a greenfield GenAI platform.
- Work with modern AWS and AI technologies.
- High-impact programme within a fast-growing, equity-backed business.
Full Stack / Backend Engineer in England employer: Fruition Group
Contact Detail:
Fruition Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack / Backend Engineer in England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS, serverless architecture, and AI technologies. This is your chance to demonstrate what you can bring to the table beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on relevant tech and soft skills. Practice coding challenges and be ready to discuss your experience with AWS Bedrock and GenAI platforms. Confidence is key, so get comfortable talking about your past projects!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Full Stack / Backend Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS Bedrock and serverless architecture. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about shaping our GenAI platform and how your background makes you the perfect fit. Keep it engaging and personal!
Showcase Your Technical Skills: When detailing your experience, focus on specific technologies like Terraform or CloudFormation. We love seeing hands-on examples of how you've implemented Infrastructure as Code in past roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Fruition Group
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS Bedrock and serverless architecture. Brush up on your knowledge of React, AWS Lambda, and Infrastructure as Code tools like Terraform or CloudFormation. Being able to discuss these confidently will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly around implementing guardrails and monitoring in AI systems. Use examples that highlight your ability to adapt to fast-paced environments and evolving technical directions. This will demonstrate your hands-on experience and critical thinking skills.
✨Understand the Company’s Vision
Research the organisation's AI platform and its recent developments. Be ready to share your thoughts on how you can contribute to shaping the next phase of their platform. Showing genuine interest in their mission and how you fit into it can set you apart from other candidates.
✨Prepare Questions
Have a list of insightful questions ready to ask during the interview. Inquire about their approach to policy-driven development or how they handle state management and performance visibility. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals.