Software Engineer - Multi-Strat Hedge Fund - AI Systems
Role details
Job location
Tech stack
Job description
bring deep domain and architectural expertise, while showing them new ways to leverage AI tooling for speed and qualityCollaborate closely with Product Managers, Customer Success Managers, and Solutions Engineers to stay rooted in what customers actually needContribute to our engineering culture by sharing what you learn about AI-first development workflows, prompting techniques, and toolingWrite code that's clear, tested, and maintainable-speed without quality isn't speed, it's debtOur Values and Engineering Culture At 5D, we embody three core principles: Own it, Ship it, and Don't be boring.Our engineering team values:Product-Minded Engineering: Understanding the "why" behind features and using technical expertise to inform product decisionsIntellectual Honesty: Backing discussions with data and acknowledging knowledge gapsEffective Time Management: Setting clear timeboxes and abandoning approaches that aren't workingClear Communication: Writing self-documenting code and, Senior Safety Engineer/ Safety Engineering Manager - Autonomous & AI Systems Qualifications, skills, and all relevant experience needed for this role can be found in the full description below. Location: London (Hybrid - 3 days in office) Employment Type: Permanent, Full...
Requirements
providing detailed explanationsInnovation Mindset: Forming well-reasoned opinions backed by data and continuously learningPersonal Growth: Supporting your development through challenging work and opportunities to expand your expertiseHaving Fun: We're building something extraordinary across three of the world's most exciting cities. We take the work seriously, not ourselvesWhat We're Looking For We don't care about years of experience or specific degrees. We care about what you've built, how fast you learn, and how you think. Show us your work.Demonstrable experience shipping software-personal projects, open source, freelance, startup, or professional. The context matters less than the output.Fluency with AI coding tools (Claude Code, Codex) as part of your daily workflow, not as an occasional noveltyStrong programming fundamentals, particularly in Python and TypeScript-but we welcome experience in other languages and architectural paradigms too. You should be able to read, reason about, and debug code that AI helped you write.A portfolio or body of work that shows velocity and quality: things you've built, shipped, and ideally that people have usedComfort with rapid experimentation: you prototype fast, measure outcomes, and aren't precious about throwing things awayIntellectual curiosity and honesty-you dig into problems, share what you find (including failures), and ask for help when you need itClear communication: you can explain what you built, why, and what you'd do differentlyAmbition and resilience-we're tackling hard problems at the intersection of AI and real estate, and you want to grow with usNice to Have (But Not Required)Experience contributing to open-source projectsFamiliarity with cloud platforms (GCP preferred) or infrastructure toolingPast exposure to real estate, law, or finance domainsExperience building or fine-tuning with LLM APIs (Anthropic, OpenAI, etc.)A blog, Twitter/X presence, or community contributions that show how you think about AI-first developmentWhy This Role Is Different Most early career roles put you in a box: fix bugs, write tests, shadow seniors for six months before touching anything real. This isn't that. You'll own real features from day one, shipping to enterprise customers across the US, EU, and APAC. The guardrails are the staff and principal engineers around you and a culture that values measurement over ego-not a months-long onboarding gauntlet.You'll be surrounded by staff and principal-level engineers who've built systems at scale, know the commercial real estate domain deeply, and will challenge your thinking in ways that make you better. In return, you'll challenge how fast they think things can be built. That two-way exchange is exactly what we're optimising for.There's also the opportunity to travel between our London, New York, and Singapore offices-three epicentres of global real estate. It's not for everyone, but if you're excited by the idea of, Job Description Do you want to build GenAI solutions at speed, not get stuck in long delivery cycles? Have you worked on AI PoCs, MVPs or demos that needed to show value fast? Are you excited by hands-on building, experimentation and client interaction? This role sits...
Benefits & conditions
working across cultures and cities, it's a genuinely unique part of what we offer.What We Offer You Up to £120,000 (London/Singapore) / $200,000 (New York) + meaningful equity on a standard vesting schedule. Our benefits are localised to your city-designed so you don't have to worry about living your life in a big, expensive, exciting place. From tailored support for life's challenges to enhanced parental leave, a well-being budget, and an annual training budget-we want you focused on doing the best work of your career, not stressing about the rest.The ProcessSubmit your CV, along with answers to the handful of questions we ask of every candidateAn initial call to explore fitA live task and competency interviewAn on-site half-day including a product building workshop and culture fit conversations with people across the business, including our foundersAlternatively, we offer a paid-for one-week trial for candidates who are available for the setup#J-18808-Ljbffr Similar jobs