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- Tasks: Join us to build an AI-enabled SaaS product with cutting-edge tech.
- Company: We're a boutique consultancy focused on innovative solutions in AI and cloud technology.
- Benefits: Enjoy remote work flexibility and the chance to work on exciting projects.
- Why this job: Be part of a dynamic team shaping the future of AI applications.
- Qualifications: Proficiency in Python or Node.js, AWS experience, and familiarity with LLM APIs required.
- Other info: This is a short-term project with potential for more exciting sprints ahead.
The predicted salary is between 36000 - 60000 £ per year.
We’re a boutique consultancy spinning up an AI-enabled SaaS product. Our AWS backbone includes multi-AZ VPC, ECS Fargate, ALB, Terraform IaC, logging/monitoring, IAM hardening, etc.
Responsibilities:
- Design and ship REST or GraphQL endpoints.
- Build multi-tenant data models and role-based workflows.
- Wire existing prompts to an LLM API (OpenAI-compatible today, private model later).
- Store embeddings in a vector store and perform RAG look-ups.
- Deploy new services into the existing Terraform / ECS stack—extend, don’t rewrite.
- Add CloudWatch alarms, log routes and parameter-store secrets where needed.
Quality & Ops:
- Write unit and integration tests and set up a lightweight CI pipeline.
- Pro in Python (FastAPI) or Node.js (TypeScript / Nest)—ready to justify your pick.
- Experience extending an AWS stack (Terraform, ECS Fargate, ALB, Secrets Manager, KMS).
- Hands-on with LLM APIs and at least one vector database (Pinecone, Weaviate, OpenSearch, etc.).
- Multi-tenant data design with GDPR awareness.
- CI/CD and automated-testing mindset.
- Prior LLM fine-tuning or custom-model training.
- Chrome-extension data capture.
Following this sprint project, there will be an additional 2-3 sprint projects of similar size to follow.
Front End/Back End Developer employer: Future_find
Contact Detail:
Future_find Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Front End/Back End Developer
✨Tip Number 1
Familiarise yourself with AWS services, especially those mentioned in the job description like ECS Fargate and Terraform. Having hands-on experience or even personal projects showcasing these skills can really set you apart.
✨Tip Number 2
Brush up on your Python (FastAPI) or Node.js (TypeScript/Nest) skills. Be prepared to discuss your choice of language and how it fits into the project requirements during any interviews.
✨Tip Number 3
Gain a solid understanding of LLM APIs and vector databases. If you have experience with any specific tools like Pinecone or Weaviate, be ready to share examples of how you've used them in past projects.
✨Tip Number 4
Showcase your knowledge of multi-tenant data models and GDPR compliance. Being able to discuss how you would approach these topics in the context of the role will demonstrate your readiness for the position.
We think you need these skills to ace Front End/Back End Developer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Backend Engineer position. Familiarise yourself with AWS services, LLM APIs, and the technologies mentioned in the job description.
Tailor Your CV: Customise your CV to highlight relevant experience with Python, Node.js, AWS, and any previous work with AI or SaaS products. Use specific examples that demonstrate your skills in building REST or GraphQL endpoints and working with multi-tenant data models.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and SaaS development. Mention your familiarity with the tools and technologies listed in the job description, and explain how your background makes you a great fit for the role.
Showcase Your Projects: If you have worked on relevant projects, especially those involving AWS, LLMs, or CI/CD pipelines, be sure to include them in your application. Provide links to your GitHub or portfolio to give the hiring team a clear view of your capabilities.
How to prepare for a job interview at Future_find
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AWS, Terraform, and the specific technologies mentioned in the job description. Bring examples of past projects where you've successfully implemented similar solutions, especially focusing on REST or GraphQL endpoints.
✨Demonstrate Problem-Solving Abilities
Expect technical questions that assess your problem-solving skills. Practice explaining your thought process when tackling complex issues, particularly in relation to multi-tenant data models and role-based workflows.
✨Familiarise Yourself with LLM APIs
Since the role involves working with LLM APIs, make sure you understand how they function and can discuss your hands-on experience. Be ready to explain how you've integrated these APIs into previous projects.
✨Prepare for Cultural Fit Questions
As a boutique consultancy, cultural fit is crucial. Research the company’s values and be ready to discuss how your work ethic and approach align with their mission, especially in a remote working environment.
