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In Practise Research is owned by IP 1 Group, a London-based investment holding company backed by MITIMCo.
The Opportunity
Join our R&D team to build greenfield AI products that will transform how investors analyze and understand companies. You'll be working on cutting-edge applications that use Large Language Models to process and extract insights from international filings, regulatory documents, and research materials.
This is a true full-stack role where you'll own the entire product lifecycle — from understanding customer needs and gathering feedback, to designing and building the solution, to deploying and maintaining it in production.
What You'll Be Building
- AI-powered research tools using state-of-the-art LLM Agents
- Novel interfaces for exploring and analyzing financial documents and company data
- Scalable systems that can handle complex document processing and analysis
- Products from scratch — every project is greenfield and requires deep customer understanding
Essential Skills
- Claude Code or similar — we think top engineers leverage agents like Claude Code
- Startup experience— you've built products or side projects in fast-moving environments
- Full-stack product mindset — you can take an idea from customer feedback to production
- TypeScript, React, NextJS, PostgreSQL — our core stack
- Design and UX sensibility — you can build beautiful, intuitive interfaces with HTML, CSS, or Tailwind
- Strong English communication — critical for our global, remote team and US customer base
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Highly Valued
- Interest in LLMs and AI — experience with Claude Code, context engineering, prompting, and cutting-edge AI tools
- Financial markets experience — experience building a product for investors or other financial market participants
- Startup hustle mentality — you love building products and don't mind occasional weekend work to ship something great
- International experience — you've lived abroad and work well in diverse, distributed teams
Why In Practise?
- Cutting-edge AI work— you'll be at the forefront of applying LLMs to financial research
- Direct customer impact — your work directly helps sophisticated investors make better decisions
- Flat hierarchy — everyone talks to everyone, information flows freely
- Learning culture— most of our team are investors themselves; we're all learning together
- Quality focus — we optimize for excellence, not volume or speed
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Our Culture
We're a remote-first company with team members across different countries. Our R&D team has a core presence in Madrid with regular in-person collaboration at coworking spaces, plus 2-3 company offsites per year in Europe.
What We Offer
- Above-market salary
- Equity program — we encourage all employees to become company owners
- Everything you need to do your best work — devices, tools, AI subscriptions, learning resources
- Growth opportunity — join a profitable, growing company with access to long-term capital
- Continuous learning — conferences, books, courses, and direct exposure to world-class investors and operators
Hiring Process
- Introduction Interview
- Code Challenge — small project based on real problems
- Technical Deep Dive
- Team Interviews
Email us with your LinkedIn profile, GitHub profile, and a brief note on why you're excited about building AI-powered research tools for investors at careers@inpractise.com.
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