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- Tasks: Build and optimise backend systems for an AI-native platform, shaping the future of professional services.
- Company: Revax, a fast-moving startup revolutionising tax advisory with AI technology.
- Benefits: Competitive salary, EMI equity, and the chance to work directly with founders.
- Why this job: Make a real impact in a dynamic environment while working with cutting-edge technologies.
- Qualifications: 2-3 years of backend experience, proficiency in FastAPI, and cloud deployment skills.
- Other info: Join a lean, driven team focused on innovation and growth.
The predicted salary is between 80000 - 100000 ÂŁ per year.
We’re hiring a Backend Engineer to build the core infrastructure behind Revax’s AI-native platform for professional services. You’ll design, optimise, and scale the systems that power multi-agent drafting, knowledge graphs, and auditable AI workflows used by accountants, tax advisors, and consultants at leading firms. This is not a “ticket-taking” role - you’ll work directly with the founders, own critical backend services end-to-end, and help define how AI systems are built responsibly in regulated domains.
If you enjoy designing clean APIs, scaling Python services, and building systems that actually ship to paying customers, this role is for you.
About Revax: Revax is building a new class of AI-native software for tax advisory firms. Today, professional services teams spend countless hours drafting, reviewing, and re-drafting work - constrained by fragmented knowledge, manual workflows, and brittle tooling. We turn a firm’s own expertise into structured, auditable, AI-powered systems that draft, analyse, and explain deliverables with full provenance. We’re a fast-moving, well-funded startup backed by leading angels, already working with major firms, and building at the intersection of AI agents, knowledge graphs, and real-world enterprise workflows.
What You’ll Do:
- Build and optimise databases for complex, real-world data
- Design and implement APIs using FastAPI for AI workflows and product features
- Build and scale LangGraph-based multi-agent systems with checkpointing, retries, and observability
- Integrate and scale vector search, knowledge graphs (Neo4j), and associated retrieval pipelines into production services
- Deploy and operate GPU-backed services for AI workloads (e.g. inference, embeddings, or agent pipelines) in production
Scale & operate production infrastructure:
- Deploy services on GCP (Cloud Run / GKE) or equivalent cloud infrastructure
- Improve performance, reliability, and cost efficiency (latency, throughput, retries, backoffs)
- Implement security-first patterns: auth flows, service-to-service auth, IAM, and access controls
- Help prepare the platform for enterprise customers (SSO, auditability, compliance ready patterns)
Collaborate closely with founders & product:
- Shape system architecture and API design alongside full-stack and ML engineers
- Translate ambiguous product ideas into robust backend implementations
- Iterate quickly based on real customer usage and feedback
What We’re Looking For:
Essential:
- 2-3 years building backend systems for real users
- Production experience with FastAPI (or similar modern Python frameworks)
- Solid understanding of API design, PostgreSQL, and distributed systems fundamentals
- Experience deploying and operating services on cloud infrastructure (GCP, AWS, and Azure)
- High ownership mindset: you care deeply about reliability, correctness, and outcomes
Strong Plus:
- Experience with LangGraph, RAG pipelines, vector databases, or knowledge graphs
- Familiarity with Neo4j or graph-based data modelling
- Experience working on AI-native or agentic systems
- Comfort working in early-stage startups with ambiguity and speed
- Experience deploying and working with GPU services for AI workloads
Bonus:
- Exposure to professional services, finance, tax, or regulated workflows
- You actively use modern AI coding tools (Cursor, Claude Code, etc.)
- Strong instincts for developer experience and internal tooling
Why Revax:
- Real ownership over core backend infrastructure
- Work directly with founders on high-impact technical decisions
- AI-native product with real customers and immediate feedback
- Modern stack: Python, FastAPI, LangGraph, Postgres, Supabase, Neo4j, GCP
- Meaningful early-stage equity: we hire owners, not passengers
- A lean, low-ego, high drive team that ships fast and cares about their work
Practical details:
- London based (strong preference for in office collaboration)
- Visa sponsorship available
Backend Engineer (AI Platform) - London employer: Revax
Contact Detail:
Revax Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Backend Engineer (AI Platform) - London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A personal connection can often get you a foot in the door faster than any application.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to backend systems and AI. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. We recommend using platforms like LeetCode or HackerRank to sharpen your skills before the big day.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Backend Engineer (AI Platform) - London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and backend engineering. Share any personal projects or experiences that highlight your skills in building systems that leverage AI technologies.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to reflect the specific requirements of the Backend Engineer role. Highlight your experience with FastAPI, cloud infrastructure, and any relevant projects that demonstrate your ability to design and optimise backend systems.
Be Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your key achievements and skills at a glance.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Revax.
How to prepare for a job interview at Revax
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially FastAPI and PostgreSQL. Brush up on your knowledge of cloud infrastructure like GCP, as you'll likely be asked about your experience deploying services in a production environment.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Revax is looking for someone who can translate ambiguous ideas into robust backend implementations, so think of examples where you’ve done just that.
✨Demonstrate Ownership Mindset
Revax values a high ownership mindset, so be ready to talk about projects where you took full responsibility. Highlight instances where you ensured reliability and correctness in your work, and how you contributed to positive outcomes.
✨Engage with Founders' Vision
Research Revax and understand their mission in the AI-native software space. Be prepared to discuss how your skills align with their goals and how you can contribute to shaping the system architecture and API design alongside the founders.
