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For Companies At a Glance
- Tasks: Build an AI-enabled product and design backend workflows for document analysis.
- Company: Join RC Fornax, a dynamic tech company focused on defence and procurement.
- Benefits: Flexible hybrid work, competitive pay, and real ownership of projects.
- Other info: Collaborative team environment with opportunities for growth and innovation.
- Why this job: Make a tangible impact in engineering with cutting-edge AI technology.
- Qualifications: Strong full-stack experience, especially in TypeScript, React, and AI workflows.
Location: Bristol
Engagement Type: Permanent or Contract
Day Rate / Salary: £350–£500 per day (contract) or permanent package by discussion
Work Model: Hybrid - Bristol office, flexible by agreement
About the Role
We’re looking for a Senior Full-Stack Engineer to join the product engineering team at RC Fornax. This role will initially focus on building a new AI-enabled product, a structured document generation and workflow tool that transforms unstructured inputs into high-quality, structured outputs through analysis, drafting, review, and publishing workflows. The product sits within a broader defence and procurement platform, where outputs directly support real-world engineering, delivery, and supplier decisions. The early emphasis is on getting this product built quickly and properly. Over time, this role will expand to work across the wider platform as part of a small, collaborative engineering team. We’re looking for a pragmatic, delivery-focused engineer who is comfortable working across the stack, but whose strongest value comes from backend systems, AI workflow orchestration, and turning complex product workflows into reliable software. You’ll own vertical slices of the product, contribute to technical decisions, and help shape how we build and operate the platform as it evolves. This is applied AI product engineering. The focus is on building reliable systems around structured generation, agent-driven workflows, and multi-step processes, not frontend-heavy work, and not ML research. You’ll work closely with product and leadership in a small team environment, with real ownership and direct impact.
Technical Environment
You’ll be working within an established monorepo and product architecture, including:
- Frontend: Next.js, React, TypeScript, Tailwind
- Backend / Data: Convex (real-time database, serverless functions)
- AI orchestration: AI SDK + OpenAI (structured generation, agentic workflows)
- Auth: Clerk
- Monorepo: Turborepo with shared packages and strict conventions
What You’ll Do
- Build a new AI-enabled product from the ground up as a core platform capability
- Design and implement backend workflows for AI-assisted document analysis, structured generation, agent-driven interactions, and multi-step processes
- Develop full-stack features across frontend and backend
- Design APIs, data models, and workflow/state logic for complex systems
- Build agentic workflows (e.g. conversational interfaces that guide users through structured output creation)
- Work with document ingestion, extracted inputs, prompts, structured outputs, validation, retries, and error handling
- Translate complex product workflows into clean, maintainable engineering solutions
- Collaborate closely with product to shape scope and iterate quickly
- Contribute to CI/CD, environments, and production readiness as the product matures
- Implement secure and reliable engineering practices suitable for regulated and defence-related environments
- Over time, contribute across the wider product stack
What We’re Looking For
- Strong full-stack engineering experience
- Strong TypeScript experience
- Strong React and Next.js experience
- Strong backend and system design capability
- Experience building APIs and managing application data models
- Experience building or owning complex multi-step workflows (not just CRUD apps)
- Core Requirement: Production AI workflow experience - building reliable AI-assisted systems, including structured generation, prompt orchestration, agentic patterns, validation, retries, and failure handling
- Strong understanding of how applications behave in production (deployments, environments, observability, reliability)
- Comfortable debugging production issues across environments
- Experience improving or hardening early-stage systems
- Pragmatic problem solver with a strong delivery mindset
- Product-minded engineer who contributes to solution design, not just implementation
- Actively uses modern AI development tooling (e.g. Cursor, Copilot, Claude)
- Right to work in the UK
Nice to Have
- Experience building AI agents or agentic workflows
- Experience working with NoSQL or real-time databases (or willingness to learn quickly)
- Experience with document ingestion or file-heavy systems
- Experience with PDF generation or e-signature integrations
- Experience with CI/CD, logging, monitoring, or alerting
- Experience with messaging or event-driven systems
- Experience working on SaaS or platform products
- Experience in regulated or defence-related environments
- Experience contributing to or delivering 0 to 1 product builds
What Success Looks Like
- Helped take a new AI-enabled product from concept to a working product quickly
- Built reliable AI-assisted workflows for structured generation and user-guided outputs
- Delivered high-quality product features across backend and frontend
- Improved reliability and clarity of AI-driven processes and user feedback
- Contributed effectively to the wider engineering environment and product evolution
What We Offer
- Opportunity to build a core AI-enabled product from the ground up
- Real ownership over product and technical decisions
- Work that directly impacts defence, engineering, and procurement outcomes
- A small, high-trust team working closely across product and engineering
- Flexible engagement (contract or permanent) and hybrid working by agreement
- The chance to shape both a new product and the broader platform over time
Additional Information
Right to work in the UK is required. Eligibility for UK Security Clearance (SC) is great but not essential.
Senior Full-Stack Engineer in Newport employer: RC Fornax
Contact Detail:
RC Fornax Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Full-Stack Engineer in Newport
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work at companies you're interested in. A friendly chat can lead to referrals or insider info about job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI workflows and full-stack development. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at RC Fornax.
We think you need these skills to ace Senior Full-Stack Engineer in Newport
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Full-Stack Engineer role. Highlight your experience with TypeScript, React, and AI workflows. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for building AI-enabled products and how your background makes you a perfect fit for our team. Let us know why you're excited about this opportunity!
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your full-stack capabilities and experience with complex workflows. We love seeing real examples of your skills in action.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the attention you deserve. Plus, it’s super easy!
How to prepare for a job interview at RC Fornax
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially TypeScript, React, and Next.js. Brush up on your backend skills too, particularly around API design and data models, as these will be crucial for the role.
✨Showcase Your AI Experience
Since this role focuses on building AI-enabled products, be prepared to discuss your experience with AI workflows. Share specific examples of how you've built reliable AI-assisted systems and handled complex multi-step processes.
✨Demonstrate Problem-Solving Skills
Be ready to talk about challenges you've faced in previous projects and how you overcame them. Highlight your pragmatic approach to problem-solving and your delivery-focused mindset, as these traits are key for success in this role.
✨Engage with the Team
This position involves close collaboration with product and engineering teams. Show your enthusiasm for teamwork by discussing how you’ve contributed to team dynamics in the past and how you plan to engage with others in this new role.