At a Glance
- Tasks: Build innovative AI systems that transform tax advisory workflows.
- Company: Exciting seed-stage AI startup backed by top-tier investors.
- Benefits: Competitive salary of £80k plus equity and growth opportunities.
- Other info: High-ownership role with direct impact on product strategy and engineering culture.
- Why this job: Join a pioneering team and shape the future of AI in tax advisory.
- Qualifications: 2-3 years of software development experience, especially in fast-paced startups.
The predicted salary is between 80000 - 100000 £ per year.
A seed-stage AI startup backed by leading institutions is building tax advisory automation.
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.
Software Engineer (£80k + Equity) at Seed-stage AI startup backed by leading institutions employer: Jack & Jill
Join a pioneering seed-stage AI startup in London, where you will play a crucial role in shaping the future of tax advisory automation. With a high-ownership culture and direct access to founders, you'll have the opportunity to influence product strategy and engineering practices while working alongside a talented team backed by leading institutional investors. Enjoy competitive compensation, meaningful equity, and the chance to grow your skills in a dynamic environment at the forefront of agentic AI.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer (£80k + Equity) at Seed-stage AI startup backed by leading institutions
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Jack & Jill or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Jack & Jill.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Jack & Jill.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Jack & Jill that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Software Engineer (£80k + Equity) at Seed-stage AI startup backed by leading institutions
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Jack & Jill.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Jack & Jill and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Jack & Jill
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Jack & Jill uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
