Senior Software Engineer (Full Stack)

Ophelos

OUR MISSION At Ophelos, we believe in a different way to deal with debt. One that puts empathy and understanding front and centre, approaching our customers as individuals — no matter what they’re going through. For too long, people in debt have borne the brunt of poor industry practices. Intimidating tactics, time-consuming customer service and a one-size-fits-all approach that overlooks the reasons anyone can fall into debt in the first place. Meanwhile, businesses suffer too. Poor customer experience translates to poor customer satisfaction, high churn rates, bad brand reputation and ultimately missed opportunities. That’s why we’re taking a radically different approach. Pioneering an industry-first AI-native collections platform, we build products that help individuals clear their debts in a way that suits them, whilst providing businesses with an improved customer experience and game-changing insights into their customer base. Since our launch in 2021, we’ve worked with some of the UK’s leading companies, including Octopus, Scottish Power and Philips — helping millions of people move toward a more stable, debt-free future. In 2023, we were acquired by Intrum, Europe’s biggest credit management service and have begun the next phase in our growth — expansion into 17 European markets over the next two years. SENIOR PRODUCT ENGINEER (FULL STACK) We are seeking an enthusiastic and ambitious Senior Product Engineer with a keen eye for quality to join our growing Engineering function. You will be joining our Payments squad, responsible for building out our cross-market flexible Payments capability. This is a team which has recently transitioned to being "LLM-first" in their working style, so you would be joining at a critical moment to shape our ways of working and our approaches to LLM-based tooling. At Ophelos, we don't have traditional product or design functions — our engineers own the full problem, from identifying what needs to be built through to shipping and iterating on it. If you're energised by that kind of end-to-end ownership and want to operate closer to the product than most engineering roles allow, this is the role for you. In this role, you'll get to: * Design, implement and deliver software features with full ownership from start to finish — from problem definition through to production. * Take genuine product ownership: identify user and business needs, define solutions, and make pragmatic trade-offs — not just execute on a brief handed to you. * Have real opinions about how things should be built, and back them up. We want engineers who push back — on a design pattern, a tool choice, or a suggestion from an AI agent — when the second- and third-order consequences don't stack up. * Work in an environment that's largely backend-heavy right now (though that mix will evolve), with the autonomy to shape how it's built. * Collaborate as part of a close & multi-disciplinary team. Your work will have meaningful and measurable impact on our organisation and products. * Own business-critical components and ensure their stability and maintainability — and know how to prove it, through the numbers you track. * Mentor other members of the team to ensure technical excellence and continuously raise the bar when it comes to engineering standards. * Share your ideas with the team and build products that make an incredibly impactful difference to society and people's lives. Ophelos is an AI-first technical organisation and effective use of LLMs is central to how our engineers work. Claude Code and other agentic tools are critical to our toolbox, and we're as interested in engineers who bring their own AI-assisted workflows and habits to the team as we are in engineers who already use ours. The right person for this role is excited by this world, uses it daily in their own work — professionally or personally — and enjoys helping others get better at it too. Stack-wise, we run TypeScript, Python, and Ruby at various levels. For this role we're really seeking a polyglot Software Engineer for whom specific implementation language is not critical. More broadly, our stack includes: * A modern web application framework (we use FastAPI; comparable experience elsewhere is fine) * A relational database layer (we use PostgreSQL) * Workflow orchestration and data infrastructure tooling * AWS and container-based cloud infrastructure * Claude Code for LLM-first software engineering * Datadog for monitoring & observability Ophelos operates hybrid working, and believes face-to-face working time is essential for planning and alignment. Our teams spend three days each week working in-person from our comfortable office near Liverpool Street in London. ABOUT YOU More than anything we are interested in your general experience as a software developer and your approach to solving problems. The ideal candidate thinks like a product owner and builds like an engineer — someone who is energised by ambiguity, comfortable shaping the problem as much as solving it, and who takes personal pride in the real-world impact of what they ship. Some experience in the following is important for this role: * At least 5 years of experience in full stack engineering, with real depth somewhere in your backend work - this role skews backend-heavy today. * Experience with TypeScript, Python, Ruby, or a similarly high-level language, and comfort designing and integrating APIs - particularly in environments where data sensitivity or regulation raises the stakes. * Breadth across problems and systems tends to serve people better here than narrow specialisation in one area - we'd rather hear about the range of things you've owned than the depth of one niche. * You enjoy learning new technologies and are passionate about experimenting to figure out how to build things in a better way. * You're comfortable working from a problem statement rather than a fully specced brief - you can move from ambiguity to a clear technical approach independently, and you actively contribute to shaping what gets built, not just how. * Genuine enthusiasm for using the latest LLM tools — Claude Code, Cursor, Codex or similar — is critical, as is the intent to keep developing your skills as the agentic software engineering landscape evolves. Bonus points if you've helped teammates or a wider team get better at this too. * You don't just ship - you measure. You can point to how you know something you built actually worked, whether that's a business number, a reliability metric, or both. * Attention to detail, intellectual curiosity & a willingness to embrace the changing technical landscape we find ourselves in. * You are excited about Ophelos' mission to support households and businesses to break the vicious debt cycle. Experience in fintech, or in regulated or compliance-heavy environments more broadly, is a genuine bonus - but we've hired brilliant people here without it, so don't rule yourself out if that's not your background. ABOUT OUR TEAM Ophelos launched in June of 2021, backed by investors such as AlbionVC, Connect Ventures and Fly Ventures. In 2023, we were acquired by Intrum, Europe’s biggest credit management service. Our growing team has team helped build some of the world’s most successful businesses, including the likes of Monzo, Google, Oracle, ASAPP, IBM and more — in addition to pioneering innovative products, sitting at the intersection of enterprise, financial technology, artificial intelligence and academia, working with institutions such as Oxford University, the University of Amsterdam and the University of Hong Kong. OUR VALUES Supporting customers and businesses to improve their financial health is a long-term mission. Our company values act as our north star, steering our every move as an organisation and are the backbone of our unique company culture. Our values and culture allow us to stay true to our larger purpose, even as we continue to grow at a rapid pace. Customers and Clients first – We exist to help real people move through debt and to get clients paid back. This commitment drives how we design products, deliver services, and interact with customers and clients daily. Dream big – We have ambition and drive to succeed - we’re not just raising the bar, we’re confidently asserting ourselves as the benchmark. Get it done – We’re decisive and embrace a sense of urgency; we don’t let opportunities get away from us. We’d rather act quickly and take informed risks, iterating and learning as we go.  Win as one - We work as one team, supporting each other and aiming for shared goals. At Ophelos, the team isn’t just individual departments - it’s all of us together.  We challenge and support each other because we care about everyone’s growth and success.  Ophelos is committed to creating a diverse work environment and is proud to be an equal opportunity workplace, providing equal employment and advancement opportunities to all team members. We are building an environment where every Ophelos team member can thrive, feel a sense of belonging, and do the best work of their careers. We value diversity and recruit, hire, and promote individuals solely based on talent, qualifications, competence, and merit. We evaluate candidates without regard to race, colour, religion, age, sex, sexual orientation, gender identity, national origin, disability, or other protected characteristics as required by law and as a matter of our company values. GDPR NOTICE  When you apply to a job on this site, the personal data contained in your application will be collected by Ophelos ("Controller"), located at 1 Finsbury Ave, London EC2M 2PF, and can be contacted by emailing support@ophelos.com. Controller's data protection contact is Kofi Barnes, who can be contacted at support@ophelos.com. This notice explains how we process your personal data throughout our recruitment process, including at the interview stage described below. Applying for a role with Ophelos is subject to the practices described in this notice — it is not a separate agreement you sign, but a description of how the recruitment process works. You won't be given a separate notice at each stage; Ophelos retains discretion over which of the described tools and processes are applied to any given application or interview, within the purposes set out below. This discretion does not extend to introducing automated decision-making without human review — that is addressed separately below. What we use your data for Your personal data will be processed for the purposes of managing Controller's recruitment-related activities, which include reviewing applications, setting up and conducting interviews and tests, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring process. As part of this process, we use software tools — including AI-assisted tools — to help us organise, screen, and evaluate applications and interviews. This includes: * Automated analysis of CVs and application materials to identify relevant skills and experience * Automated analysis of interview transcripts to help summarise and score responses (see "Interviews" below) * Generating scores, summaries, or insights to assist our recruiters Currently, these AI-assisted outputs are advisory only. A human recruiter reviews every application and every AI-generated score or summary before any decision is made, and no application is filtered out or rejected by an automated process alone. We may in future use automated tools to make, or take part in making, decisions about your application without human review at that stage, if we do so in a way that complies with applicable law at the time — for example, by obtaining your explicit consent, or where the decision is necessary for entering into a contract with you, and in either case only with appropriate safeguards, including your ability to request human review of, and to contest, that decision. If we intend to introduce this, we will update this notice and separately inform you before it applies to your application — this notice alone does not authorise it. We also use historical, aggregated recruitment data to improve our processes generally — for example, to better understand which factors tend to be associated with successful hires. Where this involves data from past applicants, it is anonymised or aggregated before use, and is not used to make any decision about a specific individual. Such processing is legally permissible under Art. 6(1)(f) UK/EU GDPR as necessary for the legitimate interests pursued by the Controller: the solicitation, evaluation, and selection of applicants for employment, and the improvement of Controller's recruitment processes. Interviews — recording and transcription If you're invited to an interview conducted by video or phone call, it will be recorded and automatically transcribed as a standard part of our recruitment process — this is described in this notice, which applies to your application as explained above. Where an interview is recorded: * The interview will be recorded and transcribed using our video-calling provider (Google Meet). * The transcript will be processed by AI tools (including models provided by Anthropic and Google) to help generate a summary and structured notes for the interview panel, and to help train and improve our own recruitment tools as described above. * The recording, transcript, and any AI-generated summary will be stored on Ophelos's systems (hosted via Cloudflare) and in Greenhouse. * A human interviewer/panel always reviews the AI-generated summary as part of forming their own assessment — it is a starting point for the panel, not a decision in itself. Recording and transcribing interviews in this way is necessary for us to evaluate all candidates fairly and consistently, and is carried out under our legitimate interests (Art. 6(1)(f) GDPR) in running a fair, well-documented recruitment process. Who we share your data with Your personal data will be shared with the following processors, engaged by Controller to help manage its recruitment and hiring process: * Greenhouse Software, Inc. — applicant tracking system (United States) * Google LLC — video interview hosting/recording (Google Meet), and AI models used to help analyse application and interview materials (United States) * Anthropic, PBC — AI models used to help analyse and summarise application and interview materials (United States) * Cloudflare, Inc. — infrastructure and data storage supporting our recruitment tools [confirm storage region before publishing] We use application and interview data, including through AI-assisted tools, to train and improve our own internal recruitment tools and models — for example, to refine how we identify relevant skills and experience, and to better understand what tends to be associated with successful hires. This is part of how we evaluate and improve our recruitment process on an ongoing basis. The third-party AI providers who process this data on our behalf do not use it to train their own general-purpose AI models — it is used only to generate the specific outputs described in this notice. International data transfers Because the above providers are located in or transfer data to the United States, if you are located outside the United States, your personal data will be transferred to the United States once you submit it or once your interview is processed. Where the European Commission has not made an adequacy determination covering such a transfer, it is subject to appropriate safeguards, including Standard Contractual Clauses and/or the EU-U.S. Data Privacy Framework where the recipient is certified. You can obtain a copy of the relevant safeguards by contacting support@ophelos.com. How long we keep your data Your personal data, including any interview recordings, transcripts, and AI-generated summaries, will be retained for the duration of the recruitment process and for 24 months afterwards, to allow us to consider you for other roles and manage any related legal claims, after which it will be deleted or anonymised. You can request earlier deletion at any time by contacting support@ophelos.com. Your rights Under the GDPR, you have the right to request access to your personal data, to request that it be rectified or erased, and to request that processing be restricted. You also have the right to data portability and the right to object to processing based on legitimate interests, including interview recording — though for the reasons explained above, we may not be able to progress an application where a candidate objects to standard recording of the interview stage. In addition, you may lodge a complaint with an EU or UK supervisory authority (in the UK, the Information Commissioner's Office).

Sanity

We're hiring a senior engineer for Content Agent - Sanity's operations layer for structured content. It's the system that turns content work (bulk edits, audits, translation, publishing) into things an agent can actually run. It lives in Dashboard, Studio, Slack, and behind a headless API. If you've spent time on AI systems that have to hold up for real users, not just in a demo, read on. At Sanity, we build an AI-powered content operating system that lets teams model, create, and automate content the way their business actually runs. SKIMS, Figma, Riot Games, Anthropic, COMPLEX, Nordstrom, and Morningbrew run their content operations on it. Content Agent is the part of the product that understands structured content - schemas, references, field types, validation rules - and can be trusted to operate on it correctly. You'd be doing full-stack product work in TypeScript and React: MCP tools and integrations, agent orchestration, system prompts, evals to make the whole thing more reliable. Engineers on this team own their domain and work closely with product on what gets built next. WHAT YOU'D BE DOING: * Full-stack product work: React interfaces in Dashboards, APIs, backend services. * MCP tools and integrations that extend what the agent can do. * Agent loops: the orchestration logic that decides what the agent does, in what order, and when to bring a human in. * System prompts. We treat these as real engineering artifacts, not a note at the top of a file. * Evals and experiments to measure and improve reliability in real usage. * GROQ, Sanity's content query language - using it to give the agent a deep understanding of structured content. * Shaping what Content Agent becomes, with product and design. There's a lot of latitude here. ABOUT YOU: * Location: London, UK or Oslo, Norway (in-office 2–3 days/week) * Strong TypeScript and React, comfortable across the stack (frontend, APIs, backend). You don't want to be boxed into one layer. * You've shipped LLM-based systems in production. You know the hard part isn't getting a model to do something once; it's getting it to do the right thing for every user who shows up. * You think in systems. Given a new agent capability, you think through user intent, edge cases, failure modes, and what that means for the architecture: what the agent knows, what tools it has, when it escalates. * You write well and you care about why one phrasing works where another doesn't. An agent's instructions are prose running on a system that reads literally. Writing them well takes a feel for how language lands, not just what it says - who "you" refers to, what's implied versus explicit, how a sentence will actually be parsed. * You're comfortable with probabilistic systems. Improving an LLM product means running experiments, designing evals, reading results statistically, and not chasing individual failures when the aggregate trend is what matters. You've moved past "it compiles or it doesn't." * Real experience with, or real curiosity about, MCP, tool-use patterns, and agent architectures. * You care about craft in code, in writing, and in the products you ship. Nobody checks every box. We're especially interested in people from non-traditional backgrounds - writing, interaction design, liberal arts - who've built real engineering skills on top. Some of the best agent work we've seen comes from people who understand language and how people actually work, not just systems architecture. If this sounds like you, send something in. WHAT WE CAN OFFER: * A highly-skilled, inspiring, and supportive team * Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth * A global, multi-culturally diverse group of colleagues and customers * Comprehensive health plans and perks * A healthy work-life balance that accommodates individual and family needs * Competitive stock options program and location-based salary WHO WE ARE: Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data so that it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business. Sanity recently raised a $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold Ventures, Heavybit and Shopify, as well as founders of companies like Vercel, WPEngine, Twitter, Mux, Netlify and Heroku. This funding round has put Sanity in a strong position for accelerated growth in the coming years. You can only build a great company with a great culture. Sanity is a 200+ person company with highly committed and ambitious people. We are pioneers, we exist for our customers, we are hel ved, and we love type two fun! Read more about our values here! Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that, in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, or gender identity.

Faculty

WHY FACULTY? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. ABOUT THE TEAM In our Professional and Financial Services Business unit, we bring everything we have learned in more than a decade of Applied AI, and use it to help our clients navigate a rapidly changing landscape. We develop and embed AI solutions which help financial institutions become more efficient, enhance customer experience, and find the commercial upside in uncertain markets. Within the constraints of a highly regulated industry, we see so much opportunity for impactful innovation and are proud to set the gold-standard for marrying technical excellence with safe deployment. ABOUT THE ROLE As a Senior Full Stack Software Engineer, you will be a technical anchor within our Professional & Financial Services team, leading the development of sophisticated platforms that visualise complex data science insights and bridging the gap between AI research and production-grade software. You will have the autonomy to own the entire technical stack, driving architectural decisions and mentoring others to ensure we ship scalable, high-performance systems that transform how our customers interact with Machine Learning. WHAT YOU'LL BE DOING: * Leading the architecture and design of complex projects to ensure they are robust, scalable, and aligned with long-term business needs. * Creating reliable, reusable, and high-performance frontend and backend systems that facilitate the seamless delivery of AI-powered insights. * Guiding engineers within cross-functional teams of Data Scientists and Product Managers to deliver technically sophisticated, high-impact systems. * Mentoring and managing more junior engineers on the team, fostering a culture of technical excellence and continuous professional growth. * Acting as the primary authority for engineering across the full stack, setting the standard for code quality and best practices. * Providing deep technical expertise to our customers, translating their most unique business challenges into viable, production-ready software solutions. * Balancing rapid prototyping with the requirement to ship and maintain large-scale products in a dynamic, fast-paced environment. WHO WE'RE LOOKING FOR: * You possess deep technical mastery in TypeScript and modern frontend frameworks like React or Vue, alongside significant experience in backend Python or TypeScript ecosystems. * You have a proven track record of leading the architecture of complex software projects and deploying them successfully into cloud environments like AWS, Azure, or GCP. * You bring extensive experience with containerisation and infrastructure-as-code, including tools like Docker, Kubernetes, or Terraform, to ensure reliable software delivery. * You are an expert problem-solver who can debug complex, full-stack issues and maintain high standards for testing using frameworks like Jest or Cypress. * You thrive on autonomy and ownership, with the entrepreneurial drive to take a vague problem statement through to a polished, high-impact execution. * You are a compelling collaborator and mentor who can effectively communicate technical strategy to both internal multidisciplinary teams and external high-level stakeholders.. OUR INTERVIEW PROCESS 1. Talent Team Screen (30 minutes) 2. Pair Programming Interview (90 minutes) 3. System Design Interview (90 minutes) 4. Commercial Interview (60 minutes) OUR RECRUITMENT ETHOS We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: * Unlimited Annual Leave Policy * Private healthcare and dental * Enhanced parental leave * Family-Friendly Flexibility & Flexible working * Sanctus Coaching * Hybrid Working If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.