
SoSafe · Portugal Remote
SoSafe is Europe's leading human risk management company, trusted by 6,000+ organisations to turn their people into a line of defence against cyberattacks. We'v...
SoSafe is Europe's leading human risk management company, trusted by 6,000+ organisations to turn their people into a line of
defence against cyberattacks. We've built something real, and we're nowhere near done.
This role is on the Adaptive Defence team, SoSafe’s newest most innovative product where we build products fast, AI-native from
day zero, and we put it in front of customers before it's perfect. We iterate in fast cycles. We're not here to maintain a
roadmap. We're here to build what's next.
We've got the distribution, the customers, and the brand. What we need are builders: people who've taken something from 0 to 1,
who prototype before they specify, who use AI to move faster, and who have no patience for process for its own sake.
Title and years don't decide this. What you've shipped does. If you're a builder, let's talk.
Location: Ireland, UK, or Portugal (remote). Candidates based in Portugal also have the option to work hybrid from our Lisbon
office.
them. Founder, indie builder, or early employee with outsized scope all count. Coordinating other people's work doesn't.
learn than polish something that never ships.
scars to back them. Tool-agnostic on the way in; you'll converge with the team here.
have, and authority over everything, which nobody has.
you'll learn more during the interview process.
At SoSafe, we’re on a mission to make the digital world safer by addressing the human factor in cybersecurity. As one of the
fastest-growing security awareness scale-ups worldwide, we leverage behavioural science and data-driven learning to empower people
against cyber threats. Our Human Risk Management approach helps organisations turn their employees into their strongest line of
defence.
Backed by leading VCs like Highland Europe and Global Founders Capital, we’re rapidly expanding across the globe. We’re looking
for team players who want to drive meaningful change in cybersecurity, take ownership of their work, and grow with us.
If you thrive in a vibrant, purpose-driven environment that values innovation, diversity, and collaboration, then this is the
place for you!
DU BEKOMMST SPANNENDE AUFGABEN! Deine Mission: Ganzheitliche Produktverantwortung & AI-Native Engineering Wir suchen keinen klassischen Software-Entwickler für isolierte Backend-Komponenten, sondern einen AI Product Engineer, der als technischer Generalist unsere Produkte ganzheitlich verantwortet. Du nutzt modernste KI-native Entwicklungswerkzeuge und agentische Workflows, um komplexe geschäftliche Anforderungen in Rekordzeit in produktive Lösungen zu übersetzen. Du bist der "Owner" des gesamten Prozesses – von der ersten Anforderungsanalyse beim Kunden über das Rapid Prototyping bis zum finalen Deployment. End-to-End Product Ownership * Du steuerst den gesamten Produktzyklus. Dabei übersetzt Du die geschäftlichen Anforderungen unserer Kunden in technische Konzepte und baust eigenständig die passenden Lösungen. Direkte Kundenberatung & Kommunikation * Du bist der zentrale technische Ansprechpartner für unsere Großkunden und Partner. Du kommunizierst auf Augenhöhe mit Kanzleipartnern und Entscheidungsträgern, um deren Bedürfnisse direkt in die Produktentwicklung einfließen zu lassen. KI-native Softwareentwicklung * Du integrierst modernste KI-gestützte Entwicklungswerkzeuge tief in deinen Workflow, um die Softwareerstellung fundamental zu beschleunigen und hocheffizient zu iterieren. Architektur & RAG-Optimierung * Du entwickelst unsere Regulatory Intelligence Plattform weiter, optimierst Retrieval-Augmented-Generation (RAG) Pipelines und entwirfst agentische Systeme, die juristische und steuerliche Fragestellungen präzise lösen. Strategische Mitwirkung * Als Teil des Kernteams nimmst du direkten Einfluss auf die Produktroadmap und die technologische Ausrichtung von Taxy.io. WAS DU MITBRINGEN SOLLTEST. DEIN PROFIL Perfekte Deutschkenntnisse * Da du unsere Kunden direkt berätst und komplexe regulatorische Anforderungen in Deutschland verstehen musst, ist Deutsch auf C2-Level zwingend erforderlich. Verhandlungssicheres Englisch setzen wir voraus. Herausragendes technisches Verständnis * Du verfügst über fundierte Kenntnisse in Python sowie modernen Web-Frameworks und Datenbankstrukturen. Du weißt, wie man skalierbare KI-Anwendungen in einer Cloud-Infrastruktur bereitstellt. Full-Stack-Denkweise & Ownership * Du hast Freude daran, ein Produkt in seiner Gesamtheit zu verstehen – von der Datenverarbeitung bis hin zur User Experience – und übernimmst die volle Verantwortung für das Ergebnis. Kommunikationsstärke * Du kannst komplexe technische Sachverhalte klar, präzise und professionell gegenüber Kunden und internen Stakeholdern präsentieren. Agiles Mindset * Du nutzt KI-Assistenzsysteme meisterhaft, um schneller und präziser zu entwickeln als mit traditionellen Methoden. Dein Tech-Stack (beispielhaft) * Sprachen & Frameworks: Python, FastAPI, SQLAlchemy. * AI-Infrastruktur: Integration führender Large Language Models (LLMs), agentische Frameworks, Vektordatenbanken. * Cloud & DevOps: Azure, Docker, CI/CD-Pipelines, Infrastructure as Code. * Development Tools: Modernste KI-gestützte Editoren und Coding-Assistenzsysteme. WARUM DAS TAXY.IO-ABENTEUER ERLEBEN? * Impact: Du baust die führende Regulatory Intelligence Plattform für den professionellen Markt und gestaltest die Strategie aktiv mit. * Modernste Arbeitsmethoden: Wir fördern den Einsatz von KI im gesamten Entwicklungsprozess. Du bist der Architekt, der die Werkzeuge der nächsten Generation steuert. * Wellbeing: Arbeit gehört zum Leben dazu. Genau deshalb ist es uns wichtig, die Arbeit als etwas Positives zu gestalten * Persönliches und berufliches Wachstum. Du möchtest eine Weiterbildung? Wir finden das Richtige für dich! * Flexible Arbeitszeiten. Arzttermine, Sport, Kinder von der Kita holen? Kein Problem für dein Arbeiten bei Taxy! * Remote company first. Profitiere von der Möglichkeit 100% remote zu arbeiten oder nutze eines unserer Co-Working Spaces in ganz Deutschland. * Unsere Besonderheit: Nach Rücksprache Arbeiten im Ausland. * 30 Tage Urlaub. * EGYM Wellpass & Urban Sports Club. Wir bezuschussen eine Mitgliedschaft deiner Wahl. * Team: Spaß mit einem großartigen, vielfältigen Team aus Tech-Experts, Data-Scientists und erfahrenden Start-up Managern, das die Steuer- und Rechtstechnologiebranche umkrempelt!
Plain is redefining customer support for the next generation of B2B companies. We’re building the fastest, most powerful platform to help companies move beyond reactive support and build true customer relationships. Some of the world’s most forward-thinking companies - like Cursor, Raycast, and Granola - trust Plain to unify all customer interactions, enable faster team collaboration, and supercharge their workflows with AI. B2B customer support is undergoing a seismic shift. AI is transforming the way companies engage with customers, shifting support from a siloed function to a company-wide effort across Slack, Discord, and any other channel you talk to customers in. The old way - slow, manual, and disconnected - no longer works. This role is hybrid with 3 days a week in our London office. WHAT YOU’LL DO We’re in a rare spot. Plain is already powering support for high-growth companies with a lightning-fast, deeply scalable platform. AI has been part of our DNA from the start. Now we’re doubling down to define how it shapes every layer of modern customer support. This is where you come in. We're looking for a customer obsessed Senior Product Engineer to help take our AI ambitions to the next level. You’ll build the Infrastructure that helps us build AI features quickly, safely and with confidence. You’ll own problems end to end, and play a key role in building a category-defining product. In this role, you will: * Own and ship AI features such as our agents, assistants, insights and more - from concept to production. * Design and implement backend services for AI integrations and data pipeline. * Build robust APIs and abstractions for internal AI usage * Drive system scalability: caching, optimization, processing patterns, etc * Contribute and drive the evolution of the infrastructure for AI including architecture, evaluation and iteration pipelines. * Solve complex AI challenges around AI accuracy, reliability, and quality – using rigorous quantitive approaches. * Advocate for our work externally – writing, speaking, and engaging with the broader AI community. THIS IS A GREAT FIT IF YOU… * Are an experienced backend engineer who’s shipped AI products in the OpenAI & Anthropic era – especially text and data-heavy AI applications. * Have hands-on experience with LLM orchestration and LLM API optimization (costs, latency, etc) * Are familiar with RAG architectures and technologies * Have AI observability experience. AI isn’t just about shipping features that sound great – it’s about knowing, conclusively, if they’re making things better. * Have a clear perspective on what makes a great AI product. We want to apply AI with precision, nuance, and real impact – not as a gimmick. * Are product minded and customer focused in how you build software. * Measure your success by user impact, not just technical elegance. * Are self-driven, impact-focused, and thrive in a fast-moving, high-ownership environment. * Bonus: you have experience with agent frameworks and design. THIS WON’T BE THE RIGHT ROLE IF YOU… * Have primarily academic or research ML/AI experience. This role’s looking for someone with Applied AI experience. * Think AI for support is just chatbots and deflection. B2B support is complex – we want AI through the platform, not just automating conversations. * Struggle with ambiguity. We’re an early-stage startup. Things change quickly, and often, knowing what to work on is as important as the work itself. * Prioritize working with the latest tech for its own sake. We choose tools that make us productive – not what’s trendy. (Postgres is great.) * Are looking for a management role. This is a hands-on individual contributor position. * Want the perks of a big company. We offer competitive compensation for our stage, but we’re a startup – this is a different kind of opportunity.
Do you want to build the AI systems that compliance teams rely on to investigate real financial crime? Are you excited about taking agentic workflows from prototype to production at scale? Do you want your work to directly help catch bad actors moving money across blockchains? Elliptic is hiring a Senior AI Engineer to join our AI team. It is the team behind Elliptic's copilot, the AI product that helps compliance investigators trace fund flows, surface patterns, and respond to risk in real time. This role sits at the centre of that work, designing the agentic systems, LLM integrations, and backend services that turn complex blockchain data into useful answers. You'll join a focused team that cares about the quality of what it builds and gives you the space to do your best work. There's real ownership here, breadth across AI and backend systems, and the freedom to turn good ideas into shipped products. The problems are technically challenging, and the work is visible. The impact you will have: As a Senior AI Engineer on the AI team, you'll own significant parts of the Agentic stack that power Elliptic's copilot. You'll lead the design of agentic workflows, drive technical decisions on how we build and operate LLM-based features, and help raise the engineering standard across the team. You'll partner with product, web engineers, and your engineering lead to take complex problems from ambiguity to shipped product, and you'll mentor more junior engineers as the team grows. What you will do: * Design and build agentic workflows and AI-powered features that power Elliptic's copilot, using LLM frameworks such as LangChain or LangGraph. * Lead the design of agents, tool integrations, and retrieval pipelines that turn complex blockchain data into useful answers for investigators. * Build and own evaluation frameworks that measure and improve the quality, reliability, and latency of LLM outputs. * Design and build the backend services, APIs, and event-driven systems that support these features, using TypeScript and Node.js. * Drive technical design reviews and architecture decisions for AI workstreams. * Mentor and coach more junior engineers through pair programming, code review, and design feedback. * Raise the engineering bar across the team by promoting good practices in testing, observability, and AI system reliability. * Influence cross-team decisions on how AI capabilities integrate with the rest of the Elliptic platform. What you will achieve in the first 6 months: * Owned and shipped at least one significant AI capability end-to-end, from ambiguous problem statement through to production. * Driven the technical direction of an AI workstream, including architecture, evaluation, and rollout. * Established or improved at least one team practice for building AI systems (evals, observability patterns, prompt management, rollout safety). * Mentored junior engineers on AI engineering practices and contributed to their growth. * Built strong working relationships across product, web engineering, data engineering, and DevOps. * Started to influence adjacent teams on how Elliptic builds with AI. You will be a great fit here if you: * Care about building AI systems that work reliably in production, not just demos. * Have strong instincts for trade-offs specific to LLM systems: cost vs latency vs quality, deterministic vs probabilistic behaviour, when to use an agent vs a workflow. * Can take ambiguous AI problems and break them into shippable pieces with clear evaluation criteria. * Communicate clearly with non-engineers (product, stakeholders, leadership) about AI capabilities and limitations. * Have coached or mentored other engineers and enjoy raising the bar through reviews, pairing, and feedback. * Are genuinely curious about the domain and find blockchain investigations and financial crime prevention interesting. Our ideal candidate has: * 5-8+ years of software engineering experience, with at least 1-2 years of meaningful production work building LLM-powered features. * Direct experience with LLM frameworks such as LangChain, LangGraph, or similar. * Hands-on experience building agentic systems: tool use, multi-step reasoning, planning, memory, and human-in-the-loop patterns. * Practical understanding of prompt engineering, structured outputs, context management, and managing the trade-offs of working with LLMs. * Experience building and running evaluations for LLM outputs (eval sets, LLM-as-judge, regression testing). * Strong backend skills in TypeScript / Node.js, with solid API design. * Cloud experience (AWS: Lambda, ECS, S3, or similar). * Database proficiency across SQL (Postgres) and some NoSQL exposure. * Demonstrated ability to mentor and coach other engineers. * Uses AI coding assistants (Copilot, Cursor, Claude, etc.) critically and effectively as part of their day-to-day workflow. Bonus points for: * Experience with retrieval-augmented generation (RAG) and vector databases (pgvector, Pinecone, or similar). * Experience designing multi-agent systems and agent orchestration patterns. * Familiarity with LLM observability tools (LangSmith, Langfuse, Arize, or similar). * Experience working with multiple model providers (Anthropic, OpenAI, open-weight models) or with fine-tuning. * Hands-on experience with Terraform, Kubernetes, or infrastructure-as-code tooling. * Experience with observability platforms like Datadog. * Distributed or event-driven architectures (SNS, SQS). * Interest in cryptocurrency, blockchain, or compliance. JOB BENEFITS > How we work: * Hybrid working and the option to work from almost anywhere for up to 90 days per year * £500 Remote working budget to set up your home office space > Learning & Development: * $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development > Vacation/ Leave: * Holidays: 25 days of annual leave + bank holidays * An extra day for your birthday * Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully-paid leave and leave. > Benefits: * Private Health Insurance - we use Vitality! * Full access to Spill Mental Health Support * Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries * Cycle to Work Scheme We know Diversity and Inclusion is much deeper than just hiring, but it's important for us to mention it here. We welcome and embrace individuals of all backgrounds and identities at Elliptic, and this is an ongoing priority for us. We know incredible people don't all think in the same way. We want to be challenged every day. We believe our diverse team of individuals underpins this by bringing creative thinking and innovation to Elliptic every day. We are committed to creating a diverse, inclusive and equitable workplace, so we welcome applications from everyone, even if you may not think you fit all of the requirements of our roles. We foster an environment of psychological safety, where everyone feels comfortable to bring their whole self to work.