Product Architect / Product Engineer in London

Product Architect / Product Engineer in London

London Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
FabriXAI

At a Glance

  • Tasks: Design and build innovative AI-native products that shape enterprise solutions.
  • Company: Join FabriXAI, a cutting-edge team in Enterprise Software and AI technologies.
  • Benefits: Enjoy flexible hours, remote work options, and direct mentorship from industry leaders.
  • Other info: Be part of a dynamic team with excellent career growth opportunities.
  • Why this job: Make a real impact on AI adoption while collaborating with founders and senior engineers.
  • Qualifications: Experience in product engineering and a passion for building scalable software.

The predicted salary is between 63000 - 77000 £ per year.

Location: Hong Kong, London, U.K. Remote / Hybrid friendly

Type: Full Time

About The Role

We are hiring a Product Architect or Product Engineer to build the core product at the heart of our AI-native delivery model - the App, the AI Agent Platform, and the AI Gateway that powers every deployment our Forward-Deployed teams ship into customers. This is a product-engineering role, not a delivery role. You will not be embedded in customer projects. You build, harden, and evolve the features and platform capabilities that everyone else deploys. The more deployments we run, the more pressure your product takes - and the more leverage your work generates.

You Will:

  • Own end-to-end product features across the App, AI Agent Platform, and AI Gateway - from spec, through build, to production rollout and feature telemetry.
  • Work in a remote and hybrid-friendly model - you do not need to sit in an office or at a customer site, but you are accountable for proactive checkpoints, clear async updates, and visible progress independent of supervision.
  • Be part of a small senior product team - direct collaboration with founders, Solution Architects, and the Forward-Deployed pods who are your internal customers.
  • Shape what an AI-native product platform looks like for enterprise customers - joining a small team to define the model, not inherit one.
  • Be coached by founders, former IBM Technology Thought Leaders, and senior product engineers.

Responsibilities:

  • Designing and building production features across our product surface - App UX, AI Agent Platform (orchestration, agent SDK, evals, observability), and AI Gateway (model routing, guardrails, governance, billing, audit).
  • Owning the technical architecture of your area - scalability, reliability, security, performance, cost.
  • Partnering with founders and the Solution Architect team on roadmap prioritisation; pushing back when something belongs in customer-specific work rather than the platform.
  • Building developer-grade APIs, SDKs, and admin tooling that the Solution and Forward-Deployed teams depend on every day.
  • Establishing engineering practices - code review, evals, telemetry, release management - that scale beyond the founding team.
  • Reviewing field feedback from Forward-Deployed Engineers and Consultants; turning recurring requests into platform features instead of one-off customisations.
  • Mentor mid-level engineers, lead technical hiring for the pod, represent the product in customer technical reviews when needed.

Skills & Requirements:

  • Strong product-engineering background - you have shipped production software at scale, ideally in enterprise SaaS, developer platforms, or AI products.
  • Deep technical skill across at least two of the following:
    • Backend / platform engineering in Python / Node.js / Go / TypeScript.
    • Frontend / app engineering in React / Vue / Next.js.
    • AI / LLM engineering - agent orchestration, RAG, tool use, evals, guardrails.
    • Gateway / infra engineering - API design, rate limiting, model routing, policy enforcement, observability.
    • Cloud architecture on AWS / Azure / Alibaba Cloud / GCP.
  • Strong product instinct - you ship features that get used and removed when they don't; you measure success in adoption, not commits.
  • Comfortable working from a roadmap you helped write - and comfortable rewriting it when reality says so.
  • Strong written communication - your RFCs, architecture docs, and release notes are the artefacts the rest of the team builds against.
  • Proactive, low-supervision operator - you raise risks early, run your own checkpoints, and keep collaborators in the loop without being asked.
  • Strong sense of humor, low ego, and a genuine team player - your 'customers' are internal teams that will tell you when you are wrong.

Seniority Levels & Career Path:

  • Principal Product Architect: 8+ years of relevant experience. Sets the long-arc technical direction across the App, AI Agent Platform, or AI Gateway. Mentors Senior Architects, owns the most strategic platform bets, represents the product to founders and key customers.
  • Senior Product Architect: 5-7 years of relevant experience. Owns a major product area end-to-end. Drives architecture decisions, leads cross-functional initiatives with Solution and Forward-Deployed teams, coaches Product Engineers.
  • Product Architect: 4-5 years of relevant experience. Independently designs and ships features within a defined product area; light senior support; growing leadership scope.
  • Product Engineer: 2-4 years of relevant experience. Builds production features under an Architect's direction; takes ownership of well-scoped initiatives.
  • Associate Product Engineer: Early-career with strong potential, demonstrated drive, and a portfolio of shipped projects. Pairs closely with senior engineers; structured 12-18 month coaching path to Product Engineer.

Team Benefits:

  • 5-day work week with flexible working hours.
  • Remote- and hybrid-friendly culture - no requirement to sit on customer site full-time, with structured proactive cadence to keep engagements healthy.
  • Flat company structure and working directly with founders and core members in a small senior team.
  • Pairing rotation: every deployment is staffed FDC + FDE - you always have a technical partner in the room.
  • Direct exposure to senior enterprise stakeholders from day one.
  • On-the-job training and coaching by certified leaders in Technology Consulting and Enterprise AI.

About Our Team:

FabriXAI is a team of experienced founders based in London, specializing in Enterprise Software, SaaS, and AI technologies. Our innovative solutions have empowered clients across diverse sectors, including banking, insurance, healthcare, construction, and public services. With teams located in the United Kingdom and Hong Kong, we are uniquely positioned to support regional enterprises and tech startups, promoting cross-sector API collaboration. Our expertise has been recognized in several prestigious tech accelerator programs, including the AWS HK GenAI Accelerator and Barclays Eagle Labs Product Growth Programme.

Want to shape how enterprises actually adopt AI?

Product Architect / Product Engineer in London employer: FabriXAI

At FabriXAI, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our engineers to take ownership of their projects. With flexible remote and hybrid work options, you will have the opportunity to work closely with senior team members and founders, ensuring your professional growth while contributing to impactful AI solutions for enterprise customers. Join us to be part of a dynamic team where your contributions are valued and your career can flourish in the exciting field of AI.

FabriXAI

Contact Details:

FabriXAI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Product Architect / Product Engineer in London

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We think you need these skills to ace Product Architect / Product Engineer in London

Product Engineering
Backend Engineering in Python / Node.js / Go / TypeScript
Frontend Engineering in React / Vue / Next.js
AI Engineering - agent orchestration, RAG, tool use, evals, guardrails
API Design
Cloud Architecture on AWS / Azure / Alibaba Cloud / GCP
Technical Architecture

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 FabriXAI.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at FabriXAI 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!

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How to prepare for a job interview at FabriXAI

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 FabriXAI 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

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