At a Glance
- Tasks: Build AI-native systems that revolutionise tax advisory workflows.
- Company: Exciting seed-stage AI startup with strong backing and market traction.
- Benefits: Competitive salary, EMI equity, and a chance to shape engineering culture.
- Other info: High-ownership role with excellent growth potential and influence on product strategy.
- Why this job: Join a pioneering team at the forefront of agentic AI technology.
- Qualifications: 2-3 years in software development, especially in fast-paced startups.
The predicted salary is between 80000 - 80000 £ per year.
Seed-stage AI startup backed by leading institutions 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.
Founding Software Engineer — AI-Native, Enterprise Systems employer: Jack & Jill
Join a pioneering seed-stage AI startup in London, where you will play a crucial role as a Founding Software Engineer in shaping the future of tax advisory automation. Enjoy a high-ownership work culture that empowers you to define engineering practices and directly influence product strategy, all while collaborating with a talented team backed by top-tier investors. With competitive salary and EMI equity options, this is an exceptional opportunity for growth and innovation in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Founding Software Engineer — AI-Native, Enterprise Systems
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and software engineering. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, confidence is key, so be ready to discuss your past experiences and how they relate to the role.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight how your skills align with our mission of building innovative AI solutions in tax advisory.
We think you need these skills to ace Founding Software Engineer — AI-Native, Enterprise Systems
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with AI, Python, and cloud operations to show us you’re the right fit for our founding team.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re excited about this role and how you can contribute to building the future of tax advisory. Be genuine and let your personality shine through!
Showcase Your Projects:If you've worked on relevant projects, whether in a professional or personal capacity, make sure to include them. We love seeing practical examples of your work, especially if they involve AI-native systems or cloud infrastructure.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like LangGraph, FastAPI, and PostgreSQL. Brush up on your Python skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles, especially in a startup environment. Highlight how you approached these problems and the impact of your solutions, particularly in building scalable systems.
✨Understand the Company’s Vision
Research the startup's mission and the role of AI in tax advisory automation. Be ready to discuss how your experience aligns with their goals and how you can contribute to shaping the engineering culture and product strategy.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their approach to building multi-agent systems or how they envision the future of AI in their industry. This demonstrates your enthusiasm and strategic thinking.
