Summary
Join an R&D team creating greenfield AI applications that help professionals analyze complex financial and regulatory information. You will build LLM-powered agents, novel interfaces for exploring documents and data, and scalable processing systems. The position offers end-to-end ownership, deep customer interaction, and the chance to take products from initial concept to production.
Highlights
Build greenfield AI products using state-of-the-art LLM agents. The role provides ownership across the full product lifecycle, from customer discovery and design through development, deployment, and production maintenance.
Description
In Practise Research is owned by IP 1 Group, a London-based investment holding company backed by MITIMCo.
The OpportunityJoin 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 BuildingAI-powered research tools using state-of-the-art LLM AgentsNovel interfaces for exploring and analyzing financial documents and company dataScalable systems that can handle complex document processing and analysisProducts from scratch — every project is greenfield and requires deep customer understandingEssential SkillsClaude Code or similar — we think top engineers leverage agents like Claude CodeStartup experience— you've built products or side projects in fast-moving environmentsFull-stack product mindset — you can take an idea from customer feedback to productionTypeScript, React, NextJS, PostgreSQL — our core stackDesign and UX sensibility — you can build beautiful, intuitive interfaces with HTML, CSS, or TailwindStrong English communication — critical for our global, remote team and US customer baseHighly ValuedInterest in LLMs and AI — experience with Claude Code, context engineering, prompting, and cutting-edge AI toolsFinancial markets experience — experience building a product for investors or other financial market participantsStartup hustle mentality — you love building products and don't mind occasional weekend work to ship something greatInternational experience — you've lived abroad and work well in diverse, distributed teamsWhy In Practise?Cutting-edge AI work— you'll be at the forefront of applying LLMs to financial researchDirect customer impact — your work directly helps sophisticated investors make better decisionsFlat hierarchy — everyone talks to everyone, information flows freelyLearning culture— most of our team are investors themselves; we're all learning togetherQuality focus — we optimize for excellence, not volume or speedOur CultureWe'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 OfferAbove-market salaryEquity program — we encourage all employees to become company ownersEverything you need to do your best work — devices, tools, AI subscriptions, learning resourcesGrowth opportunity — join a profitable, growing company with access to long-term capitalContinuous learning — conferences, books, courses, and direct exposure to world-class investors and operatorsHiring ProcessIntroduction InterviewCode Challenge — small project based on real problemsTechnical Deep DiveTeam InterviewsEmail 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.
