Founding Software Engineer — AI-Native, Enterprise Systems

Company: Jack & Jill
Apply for the Founding Software Engineer — AI-Native, Enterprise Systems
Location: London
Job Description:

Job Title

Software Engineer

Salary

£80k + Meaningful EMI Equity

Company Description

Seed-stage AI startup backed by leading institutions building tax advisory automation.

Job Description

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.

Location

London, UK

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.

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.

The ideal candidate

  • 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.

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Posted: May 27th, 2026