At a Glance
- Tasks: Design and build AI-powered applications using cutting-edge technologies.
- Company: Join Version 1, a leader in innovative tech solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
- Why this job: Make a real impact by turning AI prototypes into production-ready applications.
- Qualifications: 7 years of experience in full stack development with strong skills in React and Python.
The predicted salary is between 70000 - 90000 £ per year.
hackajob is collaborating with Version 1 to connect them with exceptional professionals for this role.
As a Senior/Staff AI Full Stack Engineer on the AI products team, you will design, build, and ship production-grade applications powered by Galaxy's AI platform. Your focus is on turning that platform into real products, either by building applications from scratch or by helping teams take their AI prototypes to production. You are a product-minded, full stack engineer who is equally comfortable building a React frontend, a Python backend, and the CI/CD pipeline that ships it.
You will act as a trusted advisor to teams across Galaxy, guiding them on best practices at the start of a prototype, and hands-on when it's time to harden and scale that prototype into a production application. You take end-to-end ownership of development, from application code through to the infrastructure, CI/CD, and deployment that runs it reliably in production, owning the software and infrastructure engineering that gets a product shipped and kept live.
Key Responsibilities- Design and build full stack AI-powered applications from scratch, consuming Galaxy's AI platform (AgentCore, Bedrock, SageMaker) as the underlying intelligence layer.
- Build responsive, production-quality frontends in React that deliver a great user experience for AI-driven features.
- Build robust, scalable backend services in Python that integrate with LLMs, agentic workflows, and enterprise data sources.
- Design and implement data layers using PostgreSQL, Databricks, and Redis as appropriate for the use case.
- Partner with product and engineering teams to take existing AI prototypes and re-architect, harden, and scale them into production-ready applications.
- Identify and remediate gaps in security, scalability, reliability, and performance before go-live.
- Work within Galaxy’s CI/CD pipelines using Kubernetes and Terraform to ensure applications are deployed, versioned, and scaled reliably.
- Implement automated testing and observability (logging, metrics, tracing, alerts) so applications are supportable in production.
- Act as the go-to advisor for teams starting new AI prototypes, providing early guidance on Galaxy's architectural and product best practices.
- Define and evangelize reusable patterns, templates, and starter kits for building on the AI platform.
- Review prototype architectures and provide clear, actionable recommendations to reduce rework later in the lifecycle.
- Bring a product mindset, balancing user needs, technical feasibility, and time-to-market when advising teams.
- Work closely with the AI Tech team to stay current on Bedrock platform capabilities and roadmap.
- Collaborate with business stakeholders to translate real-world problems into shippable AI product features.
- Mentor engineers across teams on full stack best practices for building AI-powered products.
- Mandatory Technical Skills
- Frontend: React (or similar component frameworks such as Angular, Vue, or Svelte).
- Experience building streaming UIs (SSE/WebSockets) for real-time AI response rendering, avoiding blocking/loading-only UX.
- Backend: Python (primary; strong backend experience in a comparable language such as Go, Java, or Node.js considered if you're ready to work primarily in Python).
- REST APIs: FastAPI (or similar async Python API frameworks).
- CI/CD & Infrastructure: Kubernetes, Terraform, Docker, Automated testing, Git and modern branching/PR workflows.
- Databases & Data Platforms: PostgreSQL, Databricks, Redis.
- AI & Product
- Strong product sense, able to advise teams on best practices and translate prototypes into scalable product architecture.
- Comfortable working across the full stack, from UI to data layer to deployment pipeline.
- Cloud Platform
- Strong hands-on familiarity with AWS, with recent professional experience built primarily on the AWS stack.
- Comfortable working alongside AWS-native AI services (Bedrock, SageMaker, AgentCore).
- Experience with core AWS services relevant to full stack product delivery, e.g. EC2, ECS/EKS, Lambda, API Gateway, S3, IAM, CloudWatch, VPC/networking basics.
- Security
- Experience implementing AuthN/AuthZ (OAuth2/OIDC, SSO), RBAC, and secrets management in production applications.
- Soft Skills
- Strong communication skills; comfortable presenting architectural recommendations directly to engineering and business stakeholders.
- Nice to haves
- Domain Experience working within the financial services domain is preferred.
- Prior experience across Capital Markets, Digital Assets/Crypto, or AI infrastructure is highly desirable.
- AI & Product Experience building applications on top of LLM/agentic AI platforms (e.g. AWS Bedrock, SageMaker, or equivalent).
- Familiarity with vector databases and embeddings for AI-powered search/retrieval features.
- Ability to evaluate AI feature quality from a product/UX lens (accuracy, latency, hallucination handling, graceful degradation).
Senior Full Stack Engineer employer: Version 1
Version 1 is an exceptional employer that prioritises the well-being and professional growth of its employees. With a strong focus on fostering a collaborative work culture, this role offers unique opportunities to engage with leading Private Sector organisations in the UK & Ireland, driving meaningful impact while enjoying competitive salaries, bonuses, and comprehensive benefits. Join us to be part of a dynamic team that values innovation and personal development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Full Stack Engineer
✨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 Version 1 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 Version 1.
✨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 Version 1.
✨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 Version 1 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 Senior Full Stack Engineer
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 Version 1.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Version 1 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 Version 1
✨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 Version 1 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.
