Staff Software Engineer - React

Legora

ABOUT US Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. * We lean in: ownership over titles, outcomes over intentions. * We fight for excellence: high standards, direct, ego-free feedback. * We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you’re driven by impact, pace, and raising the bar. This is the place. The role As a Staff Software Engineer at Legora you will build, review and ship amazing products helping legal professionals all over the world in their day-to-day job. You’ll get the chance to work across the entire tech stack with clear ownership and autonomy. What you will be doing: * Architect and implement features end-to-end for our web platform * Take ownership of our codebase, balancing high-quality code, security and speed of development * Work with technologies such as React, Node.js, AWS, Azure and Kubernetes * Review code and mentor junior colleagues to support them in their development, making the team even better! * Drive continuous improvement and challenge us, the industry and yourself Who you are * A passionate engineer with a several years of experience building great products using cutting-edge technologies * You feel comfortable working across the entire tech stack, with focus on backend development * You’re autonomous and take pride in the code you write * You’re a problem solver who’s not afraid to come up with creative solutions and think holistically about software architecture * Experience in infrastructure and integrations are a big plus Legora is an Equal Opportunity Employer At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.

Safi

Safi’s mission is to make circular economy firms more profitable through the deployment of AI Technology. We do that by developing foundational models, software and data connectors. In this role you will deploy our technology with customers and help them use it to improve their plants. Why Safi? Our customers are industrial recyclers of plastic and metals - manufacturers, processors, smelters. These firms are held back by limited, legacy technology. Our current customers include one of the world’s largest recycling plants and a group that processes the entire plastic waste stream of a major developed nation. We have product-market fit and strong customer traction in an under-served market. We want to expand on that traction to manage the entire end to end lifecycle of plants in multiple sectors. We’re backed by leading climate-focused VCs, including LowerCarbon Capital, Nosara Capital and Transition Ventures. If our mission resonates with you, we encourage you to apply, even if your experience doesn’t match every requirement. Who we’re looking for: We're at an early stage with a small team. We need an experienced Staff Software Engineer / Tech Lead to deeply understand these plants and help us automate and improve them. You: * Own technical direction. You make the call on how core systems are designed and built, not just on the code in front of you - and you can justify those calls in terms of pace, reliability, and what the business needs next. * Raise the bar of strong engineers around you. Not via management, but via shipped work, the architecture you set, and the questions you ask in PRs and design reviews. * Have experience working with a high degree of autonomy, quickly and with a large set of competing problems to tackle (and enjoy it!). * Have experience taking products from 0 to 1 (and then from 1 to 100!) - and have made the architectural decisions that let a system survive that transition. * Are excited about deploying technology at real-world industrial sites. * Can take a problem from "I saw something that could be improved at a plant" to a shipped feature in our app deploying at the plant, end-to-end, within a sprint or two. * Can work closely with customers - assessing (not just blindly following) what they say, observing their operations and understanding what is the critical thing to impact. * Are interested in commercial questions (how much do we charge for this?), deployment (what's the right UI for forklift engineers wearing gloves?) and AI/ML (what can we build that is 10x better than their current ERP process?). * Can work shoulder-to-shoulder with our ML team. You don't train models but turn their outputs into something a forklift driver and a procurement manager both want to use. Requirements: * You have led multiple user-facing projects end-to-end, and can scope and define projects for others to work on alongside you. * You can own system design and architecture for a production product, and have examples of architectural decisions you made and the trade-offs behind them. * Deep Experience with the majority of our stack and have examples of filling experience gaps quickly * Python * Django and DRF * React and React Native * PostgresQL * Google Cloud * Experience monitoring reliable systems and recovering from outages * You know how to see an alert in production and dig in to deliver a resolution. * At least 5 years in an environment where shipping fast is important. * You are comfortable delivering at pace but with strong monitoring and testing fundamentals so that software is robust and easily fixable * Happy to travel to a customer site or our London HQ regularly (i.e. avg. once per month) (expenses covered by Safi, of course) * If remote, timezone +/-2 hrs of London The process: * Screening Call (15 mins) * Product Challenge (1 hour with our CPO) * Working session with our Engineers - Using your own development tools (60 to 90 mins) * Technical Challenge - System Design and Architecture (1 hour) * Final Chat, Q+A (30 mins) Compensation and Benefits: * Competitive salary and share option plan * Salary varies based on location and level of experience. For a candidate in London, UK we expect to pay between £140,000 - £160,000, dependent on seniority * 26 days annual leave (+ all UK bank holidays) - the bank holidays are flexible, so you can take them whenever it suits you * HQ in Spitalfields, East London, UK * Personal wellness & development budget of £75 per month * Home office kit-out budget of £500 * Regular team socials and meals * Private health insurance (UK) * Salary sacrifice pension scheme (UK) * Cycle to work scheme (UK) We welcome applicants from all backgrounds and do not discriminate on the basis of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race or ethnicity, religion or belief, sex, or sexual orientation. If you require reasonable adjustments at any stage, please let us know.

Unlikely AI

STAFF SOFTWARE ENGINEER At UnlikelyAI, we are building the future of AI: one that is reliable, accurate, and transparent. Our neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with Universal Language – our proprietary symbolic technology that bridges the gap between probabilistic machine learning and deterministic classical computing. Our products are already in use with major enterprises – including tier-1 banks and leading accountancy firms – across audit, compliance, and financial services. In compliance, we combine symbolic decision trees with LLM-powered evidence extraction to catch errors in financial reporting that human reviewers miss. In financial services, we use neurosymbolic guardrails to deliver accurate and explainable outcomes at scale. We are now building toward a platform – a public API and platform experience that will make our core neurosymbolic capabilities available to a broader set of customers and use cases. This is a pivotal moment: we're transitioning from bespoke customer engagements into a scalable product platform, and we need exceptional engineers to help us get there. THE ROLE We are looking for a Staff Software Engineer to help shape the technical direction of our platform as we scale. This is a role for someone who combines deep hands-on engineering ability with the judgement and influence to drive architecture and engineering quality across teams. You'll be one of our most experienced individual contributors – someone the team looks to for guidance on hard technical decisions, system design, and long-term technical strategy. You'll spend most of your time writing code and solving complex problems, but you'll also be expected to identify the highest-leverage work across squads, mentor other engineers, and raise the bar for how we build software. Our core capabilities span symbolic reasoning (decision trees, propositional graphs, knowledge graphs), document ingestion pipelines, and the APIs that expose these to customers. You'll work on genuinely novel problems at the intersection of classical symbolic AI and modern LLMs – for example, how to represent regulatory knowledge as machine-evaluable rules, or how to build feedback loops that improve system accuracy over time. You'll work within a shared monorepo alongside software engineers, research engineers, and applied scientists in a heavily cross-functional environment. We operate in small, focused product teams, supported by shared infrastructure, internal tooling, and an R&D function. WHAT YOU MIGHT WORK ON In your first months, you could find yourself working on any of the following: * Defining the architecture for our new public API – making foundational decisions about authentication, scalability, versioning, and developer experience that will shape the platform for years. * Leading the design and implementation of our document ingestion pipelines to handle new input formats (e.g. PDF, Word) and new regulatory jurisdictions at scale. * Designing evaluation frameworks and benchmarks to measure and improve system accuracy – and establishing these as engineering norms across teams. * Driving improvements to our deployment architecture for enterprise customers with specific cloud and security requirements. * Owning the technical strategy for internal tooling and developer experience across the monorepo – identifying bottlenecks and leading initiatives to address them. * Working on the symbolic reasoning engine that powers our products – including decision tree evaluation, rule generation, and knowledge graph construction. * Identifying and leading cross-cutting technical initiatives that improve reliability, performance, or engineering velocity across the organisation. YOU'LL BE SUCCESSFUL HERE IF... * ...you have deep expertise in Python, including writing well-typed, well-tested code in a collaborative codebase, and strong opinions on how to structure Python projects at scale. * ...you have a proven track record in system design and architecture – you've made foundational technical decisions that shaped the trajectory of a product or platform. * ...you've tackled complex algorithms and data structures and have experience working with non-trivial algorithmic problems at scale. * ...you care deeply about production-quality engineering – you don't just advocate for software quality, you actively set the standards and build the culture around it. * ...you have a track record of technical leadership – you've influenced technical direction across multiple teams or projects without necessarily having direct reports. * ...you have significant experience with cloud infrastructure (AWS preferred) – services such as S3, ECR, ECS/EKS, and infrastructure managed via Terraform or similar – and can make informed architectural decisions about deployment and scalability. * ...you have a bias for action – you move quickly, make informed decisions, and iterate without waiting for perfect information. * ...you have a relevant degree in Computer Science, Mathematics, Engineering, or STEM – or equivalent practical experience. OTHER SKILLS You don't need to tick every box below, but any of the following would strengthen your application: * Monorepo experience – comfortable working in and improving a large, shared codebase with multiple product teams contributing. * CI/CD pipelines – hands-on experience with GitHub Actions or similar, ideally including designing and optimising CI infrastructure. * Experience with document processing pipelines – PDF parsing, OCR, structured data extraction. * Familiarity with knowledge representation – decision trees, knowledge graphs, ontologies, or symbolic reasoning systems. * Experience with LLM integration in production systems – prompt engineering, evaluation, working with APIs such as Gemini, Claude, or OpenAI. * Frontend experience with React and TypeScript – we value engineers who can contribute across the stack when needed. * Experience in regulated industries – fintech, audit, compliance, insurance, or banking. * Familiarity with the modern Python tooling ecosystem: uv for package management, ruff for linting, pyright or similar type checkers. * Experience with observability and monitoring tools such as Datadog. * Experience mentoring engineers and helping teams grow their technical capabilities. HOW WE WORK We're a team of around 30 people based primarily in the UK. We operate a hybrid working policy, with three days a week in our Central London office. Engineering is organised into product-focused squads, supported by shared infrastructure and an R&D function. We work in a monorepo, deploy to AWS, and care deeply about developer experience – we're actively investing in modernising our tooling, CI, and repository structure. We run hackathons, we have strong opinions about code quality (held loosely), and we ship often. Our culture is collaborative and low-ego: engineers regularly move between teams, pair on hard problems, and contribute ideas regardless of seniority. We take the work seriously, but not ourselves.