Senior Software Engineer
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Requirements
• A deep conviction that AI will reshape industries and a desire to build at that frontier. • Evidence of reaching a high level of excellence in a professional, academic, or personal domain. • A generalist mindset with the willingness to work across product, design, and AI boundaries. • Experience building modern agentic systems or reasoning through complex ML products. • A track record of working on products generating £millions in ARR with high growth. • Rapid career progression - such as moving from junior to senior level in under five years. • The ability to critique AI-generated output with high standards and technical taste.
Responsibilities
• Integrate frontier models into real production use cases to solve multimodal reasoning problems. • Work in small teams of two to four people to direct AI agents and build agentic systems. • Own meaningful features end-to-end - from initial architecture through to production delivery. • Move new ideas from concept to customer-facing code within a matter of days. • Apply visual AI to century-old legal documents, maps, and surveys that require deep reasoning. • Continuously improve our engineering practices by using AI tools and modern techniques. • The Impact You'll Have • Your work will help professionals and individuals understand property transactions before they incur massive legal fees. By building for where models are going, you'll contribute to a system that handles over 1 trillion tokens and aims to accelerate legal work by 70%. • You're not just solving toy problems - you're fixing a £multi-billion global market that's currently stuck in archaic processes. Your technical decisions will directly determine how we scale from processing 200,000 transactions to transforming the entire industry.
Benefits
• Very competitive Salary plus equity options in a Series B startup. • Hybrid working (1-2 days per week in our Farringdon office). • 25 days holiday plus bank holidays and a personal development budget. • Free lunch on Wednesdays and a Deliveroo budget for late nights in the office. • A cycle-to-work scheme and flexible working hours. • Reasons We Might Not Be For You • We don't have established machine learning infrastructure or a polished corporate playbook - so if you need a well-defined role with clear boundaries, you might find the ambiguity frustrating. • The pace is intense and the standards are uncomfortably high - which won't suit someone looking for a predictable, low-intensity environment. • We don't have a traditional career ladder or the brand recognition of a household name - so we're a better fit for those motivated by ownership rather than title or status. • 🔒 Security is everyone’s responsibility at Orbital. We ask all team members to follow our security policies, complete regular awareness training, and handle sensitive data with care in line with ISO 27001 standards. Spot something unusual? Reporting risks or incidents quickly helps us maintain the strong culture of security and compliance we all depend on. • 💡 At Orbital, we’re committed to building a diverse and inclusive team. We especially welcome applications from people who are traditionally underrepresented in tech. Even if you don’t meet every single requirement, or if the right role isn’t listed yet, we’d still love to hear from you. • 💰 This hiring range is a reasonable estimate of the base pay range for this position at the time of posting. Pay is based on several factors, which may include job-related knowledge, skills, experience, and business requirements.