At a Glance
- Tasks: Build cutting-edge AI platforms and create seamless user experiences.
- Company: Join Nimbus, a leader in advanced AI intelligence solutions.
- Benefits: Competitive pay, flexible work options, and opportunities for growth.
- Other info: Dynamic team environment with exciting projects and career advancement.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: 5+ years in full-stack development with strong cloud and frontend skills.
The predicted salary is between 70000 - 90000 £ per year.
About Nimbus
Generic chatbots are a dime a dozen; we’re building the brain behind the machine.
Nimbus is an advanced, modular AI intelligence platform designed to move beyond "chat" and into the realm of complex multi‑agent orchestration.
We’ve built a sophisticated ecosystem, merging a compiled swarm runtime with a dynamic Client Context Ontology (Neo4j), to turn raw data into autonomous decision intelligence.
At Nimbus, we don’t just provide answers; we provide a collaborative workspace where humans and AI agents solve high‑stakes enterprise problems through traceable, beautiful, and deeply intuitive visualisations.
We are building the future of how work actually gets done.
The Role
We’re looking for a Full Stack Engineer (Contract-to-Hire) who treats code as a craft and architecture as an art form.
About
This isn't just about "building features", it’s about pioneering the end‑to‑end experience of a platform that lives at the edge of AI capability.
You won't just be connecting APIs; you’ll be
- Architecting the Core: Building resilient, event‑driven services on GCP that power our agentic workflows.
- Defining the Language: Designing robust schema contracts that allow agents and humans to communicate seamlessly.
- Crafting the
- Visual
Frontier: Building a "high‑craft" frontend using Vue 3 and Vue Flow.
You’ll be responsible for making complex graph‑and‑canvas heavy workflows feel fluid, responsive, and lets face it, magical.
- Bridging Logic & Interface: Implementing how task agents interact with Knowledge Graphs and RAG systems, ensuring that even the most complex AI "thought process" is transparent and intuitive for the user.
If you’re bored of standard CRUD apps and want to build the infrastructure for the next generation of autonomous intelligence, let’s talk.
Key Responsibilities
- Platform
- Feature
Engineering: Develop and maintain the Workflow and Perception Engines, and continual learning touchpoints as they land in the codebase, working across catalog‑style workflow definitions, runtime integration, and observability.
- AI Implementation: Partner with research on agent tool usage, causal / graph‑grounded interactions, and new workflow node patterns.
Comfortable with debugging agent loops (tools, retries, grounding failures) end‑to‑end.
- Retrieval and
Vectors: Design and operate embedding + chunking pipelines, vector store usage (e. g. per‑tenant collections), metadata for retrieval, and hybrid strategies: vector similarity + keyword + graph expansion where the product requires it.
- API & Schema
Design: Design and implement clear contracts between GCP backend (Cloud Run, Pub/Sub, Firestore) and the workspace frontend (Graph QL) where Neo4j / Graph QL surfaces apply.
- Frontend
Excellence: Build the collaborative workspace with Vue 3 and Vue Flow, emphasising complex state and long‑lived sessions, data density appropriate to enterprise (tables, charts, boards) without sacrificing clarity, performance on large graphs and lists (virtualisation where needed), accessibility as a default for customer‑grade software.
- Data
Pipelines: Build and optimise sophisticated systems to capture granular decision traces and usage signals (e. g.
Big Query), facilitating rapid model and product evolution based on authentic human‑agent interactions.
- Technical Requirements
- Experience: 5+ years of professional full‑stack development experience, ideally within technical B2B Saa S or API‑first environments.
- Backend expertise: Deep understanding of modern cloud architectures, specifically microservices, serverless compute, and event‑driven systems utilising Pub/Sub or similar message buses.
- Frontend Proficiency: Strong experience with Vue 3 (or similar frameworks) and a proven ability to manage complex state and interactive flows (e. g. Vue Flow).
- Database Knowledge: Practical experience with No SQL (Firestore) and Graph Databases (Neo4j).
- AI/ML Literacy: Proficient in implementing LLMs, autonomous agents, and tool calling, alongside RAG and prompt + evaluation workflows; keen interest in the technical tradeoffs of embedding models and vector store implementations.
- Nice to Have
- Experience with AI orchestration frameworks like Lang Chain, Llama Index, or the Vercel AI SDK.
- Familiarity with data orchestration tools (e. g. Restate) or complex analytics in Big Query.
- Direct experience in Google Cloud Platform (GCP) ecosystem.
- A background in Data Science or AI research.
- #J-18808-Ljbffr
Full Stack Developer employer: nimbus
At Nimbus, we pride ourselves on being an innovative employer that fosters a collaborative and creative work environment. Our team thrives on pushing the boundaries of AI technology, offering employees the chance to work on cutting-edge projects that have a real impact on the future of work. With a strong emphasis on professional growth, we provide ample opportunities for skill development and career advancement, all while enjoying the vibrant tech scene in our location.
StudySmarter Expert Advice🤫
We think this is how you could land Full Stack Developer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at nimbus or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to nimbus.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like nimbus.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like nimbus that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Full Stack Developer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at nimbus.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at nimbus and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at nimbus
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If nimbus uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
