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Backend Engineer (AI Platform) - London
Revax
- London, England, United Kingdom
- London, England, United Kingdom
Über
Compensation:
£80,000–£100,000 base + EMI equity
Location:
London
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 & own core backend systems
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 (inference, embeddings, 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
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Sprachkenntnisse
- English
Hinweis für Nutzer
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