Fullstack Engineer

myTomorrows

About myTomorrows  myTomorrows is a global health tech company dedicated to breaking down barriers for patients seeking treatment options.    We strive to enable earlier and better treatment access by bridging the gap between those searching for possible options, and the companies who develop them. We work closely with patients, healthcare professionals, trial sites, patient advocacy groups, and BioPharma – connecting key stakeholders in the drug development ecosystem.    We’ve developed a cutting-edge AI-powered technology platform that simplifies and streamlines access to drugs in development. To support our users and clients, we have a range of industry-expert specialized teams ready to help. Our services include clinical trial patient recruitment, Expanded Access Program management and Real-World Data collection.    With a global footprint spanning 134 countries, to date we’ve supported over 17,000 patients, 3,000 physicians and 350 sites, earning the trust of 60+ BioPharma companies. In October 2025, we closed a €25M investment with Avego Healthcare Capital to fuel our global ambitions and scale the business.   Join us in shaping the future of treatment access - making tomorrow’s therapies accessible for people who need them today.  THE OPPORTUNITY: APPLIED AI ENGINEER As Applied AI Engineer at myTomorrows, you will help us become more AI-native in how we work, build, and deliver value to patients, physicians, trial sites and (bio-)pharma partners. Your primary focus is internal: the teams, workflows, and operational processes inside myTomorrows. This is not a pure research role, and it is not a “prompt engineer” role. You are an experienced software engineer who knows how to build reliable systems, and who is experienced with the possibilities created by LLMs, agents, AI-assisted coding, retrieval, workflow automation, and internal tooling. You will work as part of our AI Acceleration initiative: a small, high-leverage team focused on safely applying AI across the organization. You embed with internal teams, e.g. Operations, Regulatory, Commercial, Marketing, to find the highest-leverage points of intervention, build production-ready solutions, and leave behind systems that teams can own and operate without you. A key part of the role is not just building things yourself, but helping myTomorrows learn how to build with AI. You will help define reusable patterns, guardrails, evaluation approaches, and engineering practices so that AI-assisted work becomes reliable, secure, maintainable, and scalable. Given that most of our team is located in the Netherlands, we only consider candidates for this position who live within commuting distance of our office in Amsterdam. HOW YOU WORK Each engagement follows the model of a “Forward Deployed Engineer”: Insertion. When you start a mission, you sit with the people who do the actual work: not the people who manage them. You watch, you ask questions, and you map what's really happening: the tools, the manual steps, the tribal knowledge, the workarounds that nobody questions anymore. Your first deliverable is not code. It is a situational awareness map. Discovery. From that map, you identify the highest-leverage intervention point: not the most technically interesting problem, but the one that, if solved, would make the most visible difference to the most people in the shortest time. Delivery. You build production-capable solutions on real data with measurable success criteria defined upfront. You identify an internal champion in week one who will own the system after you leave, and you embed them in the work from the start. Handoff. You leave behind a running system, not a prototype. You leave behind an eval framework and runbook so the system doesn't rot. And you leave behind an AI substrate — connectors, pipelines, and workflow patterns — that makes the next mission faster. WHAT YOU’LL DO IN THIS ROLE * Build production-capable AI-enabled internal tools, workflow automations, agents, and integrations that solve real business problems by embedding with internal teams. * Use modern LLM capabilities such as structured outputs, tool calling, retrieval-augmented generation, agentic workflows, prompt/context engineering and creating evals. * Help teams translate ambiguous business problems into clear, testable, AI-assisted delivery plans. * Build backend services, APIs, integrations, and internal applications using modern software engineering practices. * Work closely with Product, Engineering, QA, DevOps, Data, Legal, Privacy, and Security to ensure AI-built software is safe, secure, observable, and maintainable. * Design and implement evaluation approaches for AI systems, including test sets, human review loops, quality criteria, failure mode analysis, and monitoring. * Create reusable playbooks, templates, prompts, Skills, MCPs and examples that help other teams adopt AI effectively. * Help assess whether a solution should remain a lightweight internal tool, be transferred to a business owner, be hardened by Product & Engineering, or be stopped. * Stay up to date with the rapidly evolving AI engineering landscape and translate relevant developments into practical opportunities for myTomorrows. WHAT YOU BRING TO THE TABLE * 3+ years of professional software engineering experience, ideally in a product, platform, backend, fullstack, startup, or scale-up environment. * Strong software engineering fundamentals. You have built and maintained real systems before (and before vibe-coding was thing), and you know that shipping reliable software is about more than generating code. * Experience with backend development, ideally with Python and modern API development. * Experience with relational databases such as MySQL, PostgreSQL, or Oracle. * Experience with cloud platforms such as AWS, Azure, or GCP. * Strong understanding of testing, code review, observability, security, documentation, and maintainability. * Hands-on experience with the modern essentials of AI agents, agentic engineering and AI coding tools: LLM APIs, agents, RAG, MCPs, Skills, workflow automation and AI-enabled product development. * Ability to work independently in ambiguous environments, while communicating clearly with technical and non-technical stakeholders. * Strong product sense: you care about solving the actual problem, not just using the newest tool. * A pragmatic startup mentality: you can move fast, make sensible trade-offs, and know when to prototype, when to harden, and when to stop. * Excellent English communication skills. NICE TO HAVE * Experience with FastAPI, Pydantic, SQLAlchemy, uv, ruff, pre-commit, GitHub Actions, or similar tools. * Experience with AWS-native architectures, infrastructure as code, Terraform, serverless, Kubernetes, or cloud-native platform work. * Experience with frontend development, especially Angular, React, TypeScript, or fullstack personal projects. * Experience building internal tools, developer tools, workflow automation, or operations tooling. * Experience with AI evaluation frameworks, model monitoring, prompt/version management, or human-in-the-loop review systems. * Experience with healthcare, pharma, clinical research, regulated environments, privacy-sensitive data, or compliance-heavy workflows. * Experience with tools such as Claude Code, Codex, Cursor, GitHub Copilot, LangChain/LangGraph, LlamaIndex, n8n, or similar AI/workflow platforms. WHAT SUCCESS IN THE FIRST 6 MONTHS LOOKS LIKE * You have built trust with Product, Engineering, DevOps, Data, and business stakeholders by delivering useful AI-enabled solutions without creating unmanaged technical debt. * You have delivered 2-3 high-impact AI Acceleration missions, such as an internal tool, workflow automation, agentic engineering improvement, or AI-assisted product delivery pilot. * You have shipped production-capable software with clear ownership, tests, documentation, observability, and security considerations. * You have created reusable templates, prompts, scripts, or examples that other teams can use. * You have helped teams understand where AI is genuinely useful, where it is not ready yet, and what guardrails are needed. * You have contributed to a culture where AI-assisted engineering is judged by objective production outcomes: correctness, security, maintainability, observability, and business value. CURRENT TECH STACK We are fully cloud-native, leveraging AWS and adopting a lean, API-first product development approach driven by modern cloud technologies and thoughtful design practices. Our current Backend Engineer posting describes a stack including Python, FastAPI, Pydantic, SQLAlchemy, MySQL/PostgreSQL, Angular, GitHub Actions, Renovate, ruff, uv, pre-commit, Docker, Docker Compose, Kubernetes, Terraform, DynamoDB, and Neo4j. As Applied AI Engineer focused on internal use cases, you will often work in lighter-weight stacks like scripts, Skills, MCPs, APIs, workflow tools, internal dashboards rather than full product infrastructure. Familiarity with the product stack is useful context, but your day-to-day tooling will be shaped by the mission. WHAT WE OFFER * Impactful work that helps patients gain access to potentially lifesaving treatments. * A unique opportunity to help define how a HealthTech scale-up becomes AI-native. * International work environment, scale-up energy, and a flat organizational structure that encourages creativity and accountability. * Competitive salary, annual performance bonus, and an Employee Stock Option Plan. * Great career development opportunities in a fast-growing company. * Learning and development budget alongside internal knowledge-sharing sessions. * Attractive pension plan, full premium covered by myTomorrows. * Hybrid working model. * Policies to support working parents. * Healthy lunch at the thriving Amsterdam office. * Unlimited access to professional guidance by certified psychologists via OpenUp. * Monthly events hosted by our vibrant Culture Club as well as an annual myTomorrowland company-wide celebration. Equal opportunities myTomorrows is an Equal Opportunity Employer and, beyond upholding discrimination-free practices, we are committed to cultivating a workplace where difference and diversity are protected and celebrated. The best work comes from our best selves, and we go to great lengths in supporting our team members to be just that.

Sellhelp AB

We put items to better use. Hundred thousand a week actually. Enhancing our technical product is therefore at the top of our agenda. The scale of our operations creates complex, fascinating challenges. We thrive on engineering simple, elegant solutions to tackle them, and we are looking for someone whose craft can make a tangible impact on our rapidly growing customer base. Sellpy’s vision is to empower everyone to live circularly. We believe that every item deserves a second life, and we see huge financial, social and environmental value in making sure this happens. We look for those who share this vision and have the grit to tackle the challenges of building a circular future. Fullstack Engineer at Sellpy Sellpy serves both buyers and sellers, and both sides matter equally. As part of Sellpy Tech, you'll help hundreds of thousands of customers embrace a smarter, more sustainable way to shop. This is work that actually moves the needle on something that matters. We're looking for a Fullstack Engineer who cares about the customer experience and wants to push our technical product forward. This role is a great fit if you want to go deep on JavaScript, enjoy technical discussions, and thrive on real, varied challenges every day. Your ability to build features that integrate cleanly with our architecture and hold up in production is what makes the difference. We code for a circular future — and we build it together. Debates are welcome, opinions are expected, and everyone has a real say in how we shape Sellpy's architecture. In short, you will Build user-centric, next-generation web applications Work with JavaScript, React/React Native & Node across the stack Take ownership of features from idea to release and beyond Ensure scalability, maintainability and simplicity in everything you build Continuously improve Sellpy’s products and architecture Requirements B.S. or M.S. in Computer Science (or related), or equivalent proven experience 3+ years of professional software engineering experience Strong knowledge of JavaScript Experience from a fast-paced product environment Fluency in written and spoken English We’d be impressed if you have Experience with React, React Native, Node.js, Web Components, logging & monitoring Worked in a scaling, product-focused startup Hands-on experience with continuous integration & deployment Knowledge of AWS and Git You get to Be part of a tech-minded company that's driving the change towards a sustainable lifestyle. In return, you will get direction, energy, and work on meaningful challenges daily. Enjoy a vibrant office culture at Medborgarplatsen, balanced with hands-on experience at our production sites Work with highly skilled and motivated colleagues Gain new skills with unlimited access to a learning platform Make use of prepaid vacation Enjoy Sellpy credits and staff discounts at Sellpy and the H&M brands (Arket, COS, Other Stories, Weekday and more). Save up with a monthly pension plan Engagement in Sellpy’s social traditions with game nights, interactive planning days, guest speakers and other activities. Location On-site collaboration at our core, supported by a flexible hybrid setup on set days. This specific role is based at our Medborgarplatsen office. Hybrid work We value being together. After an on-site onboarding, we aim for a balanced office presence, with flexibility based on your team and tasks. Form of employment: Full-time Start: As agreed upon Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

Anyfin

We’re hiring engineers. Not ticket-takers. At Anyfin, we’re building financial infrastructure and products used by millions of people across Europe with a deliberately small engineering organisation. That means we care a lot about who we hire. WHAT THE ROLE ACTUALLY LOOKS LIKE This is not a place where engineering sits separately from the business. Small cross-functional teams own their work end-to-end, from identifying problems and shaping solutions to shipping and operating them in production. Engineers here work closely with product, data and commercial teams to solve real-world problems across: * Payments * Credit decisioning * Customer experience * Operational tooling * Internal AI systems * Scaling infrastructure across markets There’s very little ticket-pushing and very few handoffs. We value people who can think independently, make sound tradeoffs and move things forward without unnecessary complexity. TECH * TypeScript * React / React Native * Node.js * Python * Go * GraphQL * PostgreSQL * BigQuery * Kubernetes * GCP We also use AI heavily in day-to-day engineering work and product development. AI and machine learning have been part of Anyfin since the beginning, originally through credit assessment models, and increasingly across operations, tooling and product experiences. Today we work with multiple frontier models, build internal AI tooling and agent infrastructure, and are investing heavily in AI-powered financial experiences. WHY ENGINEERS JOIN Because they want: * Real ownership * Smart colleagues * Modern tooling * Complex systems without legacy bank infrastructure * Fast decision-making * High standards without unnecessary bureaucracy We’re intentionally not building a huge engineering organisation. We’d rather have fewer strong engineers with high trust, high expectations and meaningful impact. ABOUT ANYFIN Anyfin is a European fintech company helping people improve their financial well-being. We currently operate across multiple European markets and continue to expand rapidly, with ambitions far beyond refinancing alone. Our banking-light license opens the door to a much broader financial platform over time and we’re still early in that journey. A FEW PRACTICAL NOTES * Stockholm based. * EU work authorization required.