You will be a founding-level engineer building the future of tax advisory. Working directly with founders, you will own the development of transparent, AI-native systems that transform manual workflows into structured, traceable deliverables. This role involves everything from prototyping agentic systems to hardening production services for major enterprise firms.
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Software Engineer at REVAX TECHNOLOGIES LIMITED
Are you a high-ownership engineer ready to build the future of AI-native professional services? This seed-stage startup, backed by top-tier institutions, is seeking a Software Engineer in London to design and scale complex agentic systems using LangGraph and Neo4j. You'll work directly with founders to replace manual tax advisory workflows with structured AI systems, owning features end-to-end from RAG pipelines to enterprise-grade GCP infrastructure. If you have 2-3 years of production experience and a passion for building responsible AI in regulated domains, this is your chance to make a founding-level impact.
Overview
Role overview
Company
REVAX TECHNOLOGIES LIMITED
Seed-stage AI startup backed by leading institutions building tax advisory automation
Responsibilities
What you will do
- Build and scale LangGraph-based multi-agent systems featuring advanced checkpointing, observability, and retrieval-augmented generation pipelines.
- Design and implement robust Python APIs using FastAPI and optimize complex data schemas across PostgreSQL, Supabase, and Neo4j graph databases.
- Architect enterprise-ready infrastructure on GCP, implementing sophisticated IAM, multi-tenant isolation, and audit patterns required for regulated procurement.
Candidate profile
Who this is a fit for
- 2–3 years of experience building production software, including at least one year within a fast-paced startup environment.
- Deep technical proficiency in the modern AI stack, specifically LangGraph, RAG pipelines, vector databases, and AI coding tools like Cursor.
- Strong engineering fundamentals in Python/FastAPI and cloud operations on GCP or AWS, with a mindset focused on reliability and outcomes.
What makes it remarkable
Why this role is remarkable
- Work at the frontier of agentic AI by building production-grade multi-agent systems with LangGraph and Neo4j for high-stakes regulated domains.
- Join a high-velocity, technical founding team backed by top-tier institutional investors and industry-leading angels with immediate market traction.
- High-ownership environment where you define the engineering culture, influence product strategy, and ship features directly to major enterprise customers.
Jack & Jill
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Meet Jack
Jack gets to know what you're great at and what you want next, then searches 14 million jobs daily and introduces you directly to hiring managers.
How does this work?
Jack's an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack's network.
If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.