Software Engineer (Java)

🏢 Summary: Full Stack Engineer role focused on building an AI-native assistant that delivers reliable, persistent, goal-oriented workflows. The position covers frontend, backend and AI integrations, including agent planning, tool use, LLM reliability and real-time interactions in a remote-first global team. 🗂️ Requirements: Professional full-stack engineering experience across frontend and backend systems, System design, distributed applications and API architecture knowledge, Experience with LLMs, RAG systems or AI-powered applications, Ability to own features from concept through production deployment, Pragmatic decision-making in ambiguous, fast-moving environments, Cross-functional collaboration with engineering, Machine Learning and product teams 📃 Skills: Next.js, Python, Node.js, PyTorch, OpenAI, Anthropic, LLMs, RAG, SQL, NoSQL, Kubernetes, Docker, APIs 🏢 Description: About the product Our client is developing an AI-native assistant designed to support everyday communication, organization, errands and complex workflows with minimal user input. The product must reliably manage long-running processes, retain context, interact with external tools and complete real-world tasks despite the non-deterministic nature of modern AI models. The company’s objective is to make everyday activities significantly faster and easier for users. About the role We are looking for a Full Stack Engineer specializing in AI systems to build the product layer that transforms advanced AI capabilities into useful, production-grade workflows. You will help design how AI agents plan and operate, interact with external tools, manage failures, recover from errors and deliver consistent value to users. This is an end-to-end engineering role covering frontend development, backend systems and AI integrations. What you will do Build end-to-end product functionality across frontend, backend and AI integrations. Design agent workflows covering planning, tool use, multi-step execution, failure handling and recovery. Integrate LLMs, memory systems and external tools into applications that operate reliably under real-world conditions. Design real-time AI interactions involving streaming, partial results and strict latency requirements. Improve system reliability, observability and fallback mechanisms. Collaborate closely with Machine Learning, backend and product teams to deliver functionality from concept to production. Continuously improve the product based on real-world usage, evaluation results and observed failure modes. What we are looking for Strong professional experience in full stack engineering across frontend and backend systems. Solid understanding of system design, distributed applications and API architecture. Experience working with LLMs, RAG systems or other AI-powered applications. Ability to operate effectively in ambiguous situations and make pragmatic engineering decisions. Strong ownership and the ability to take functionality from an initial idea through implementation and production deployment. Confidence working in a fast-moving environment with evolving product requirements. Ability to collaborate effectively across engineering, Machine Learning and product teams. What success looks like AI-native product features progress beyond basic chat interfaces into persistent, goal-oriented workflows. Agent workflows reliably complete multi-step tasks across external tools and multiple user sessions. AI interactions remain responsive and achieve low latency without compromising output quality. Production systems include robust fallback and recovery mechanisms for LLM and external-tool failures. The reliability and completion rate of AI workflows improve through continuous evaluation, monitoring and iteration. Reusable patterns and abstractions support scalable integration of LLMs, memory and external tools. The resulting product experience feels proactive, consistent and dependable to users. Technology stack Next.js Python Node.js PyTorch OpenAI, Anthropic and open-source LLMs SQL and NoSQL databases Kubernetes Docker Compensation and employment The position is offered under an employment contract. The company does not publish a fixed external salary range. Compensation is assessed individually based on: professional experience and technical capability, scope of responsibility, location and relevant market benchmarks, expected impact on the product and organization. Candidates may share their expected compensation at the beginning of the recruitment process. The compensation package consists of a base salary and equity, with flexibility for exceptional candidates. A company laptop will be provided where required for the role. Remote work and global collaboration The company operates as a remote-first, globally distributed organization. There is no fixed company-wide working schedule and no requirement to follow one specific time zone. Team members are expected to maintain sufficient working-hours overlap with their immediate colleagues to collaborate effectively. The successful candidate will work from Poland and collaborate with frontend, backend, Machine Learning and product specialists located across different regions. Poland-based employees join existing global teams rather than a separate local team. The exact reporting line and hiring manager will be confirmed during the recruitment process. How the team works The company believes that outstanding products are built by small, highly capable and hands-on teams. Decisions are made collaboratively, while individuals are expected to take ownership, bring structure to ambiguous problems and execute independently. The team moves quickly while balancing production quality, experimentation and continuous learning from real user behavior. There is no fixed hiring quota for this position. The company is focused on identifying engineers who meet its technical and ownership standards rather than filling a predetermined number of seats. Recruitment process The standard recruitment process consists of up to four stages: Technical assessment, where relevant to the candidate’s background. HR interview. One or more technical interviews. Founder or leadership interview. Particularly strong candidates may be fast-tracked directly to the technical interview stage based on their experience and previous work. Applications are evaluated by members of the technical team. Interviews may be conducted virtually and, where relevant, onsite. The exact format and interviewers may vary. The company aims to make decisions efficiently and provide candidates with a prompt outcome.

🏢 Summary: Full Stack Engineer role focused on building an AI-native assistant that delivers reliable, persistent, goal-oriented workflows. The position covers frontend, backend and AI integrations, including agent planning, external-tool use, LLM reliability and real-time interactions in a remote-first global team. 🗂️ Requirements: Professional full-stack engineering experience, Frontend and backend systems experience, System design expertise, Distributed applications knowledge, API architecture knowledge, LLM, RAG or AI-powered application experience, Production deployment ownership, Cross-functional collaboration with Engineering, Machine Learning and Product teams 📃 Skills: Next.js, Python, Node.js, PyTorch, OpenAI, Anthropic, LLMs, RAG, SQL, NoSQL, Kubernetes, Docker, APIs 🏢 Description: About the product Our client is developing an AI-native assistant designed to support everyday communication, organization, errands and complex workflows with minimal user input. The product must reliably manage long-running processes, retain context, interact with external tools and complete real-world tasks despite the non-deterministic nature of modern AI models. The company’s objective is to make everyday activities significantly faster and easier for users. About the role We are looking for a Full Stack Engineer specializing in AI systems to build the product layer that transforms advanced AI capabilities into useful, production-grade workflows. You will help design how AI agents plan and operate, interact with external tools, manage failures, recover from errors and deliver consistent value to users. This is an end-to-end engineering role covering frontend development, backend systems and AI integrations. What you will do Build end-to-end product functionality across frontend, backend and AI integrations. Design agent workflows covering planning, tool use, multi-step execution, failure handling and recovery. Integrate LLMs, memory systems and external tools into applications that operate reliably under real-world conditions. Design real-time AI interactions involving streaming, partial results and strict latency requirements. Improve system reliability, observability and fallback mechanisms. Collaborate closely with Machine Learning, backend and product teams to deliver functionality from concept to production. Continuously improve the product based on real-world usage, evaluation results and observed failure modes. What we are looking for Strong professional experience in full stack engineering across frontend and backend systems. Solid understanding of system design, distributed applications and API architecture. Experience working with LLMs, RAG systems or other AI-powered applications. Ability to operate effectively in ambiguous situations and make pragmatic engineering decisions. Strong ownership and the ability to take functionality from an initial idea through implementation and production deployment. Confidence working in a fast-moving environment with evolving product requirements. Ability to collaborate effectively across engineering, Machine Learning and product teams. What success looks like AI-native product features progress beyond basic chat interfaces into persistent, goal-oriented workflows. Agent workflows reliably complete multi-step tasks across external tools and multiple user sessions. AI interactions remain responsive and achieve low latency without compromising output quality. Production systems include robust fallback and recovery mechanisms for LLM and external-tool failures. The reliability and completion rate of AI workflows improve through continuous evaluation, monitoring and iteration. Reusable patterns and abstractions support scalable integration of LLMs, memory and external tools. The resulting product experience feels proactive, consistent and dependable to users. Technology stack Next.js Python Node.js PyTorch OpenAI, Anthropic and open-source LLMs SQL and NoSQL databases Kubernetes Docker Compensation and employment The position is offered under an employment contract. The company does not publish a fixed external salary range. Compensation is assessed individually based on: professional experience and technical capability, scope of responsibility, location and relevant market benchmarks, expected impact on the product and organization. Candidates may share their expected compensation at the beginning of the recruitment process. The compensation package consists of a base salary and equity, with flexibility for exceptional candidates. A company laptop will be provided where required for the role. Remote work and global collaboration The company operates as a remote-first, globally distributed organization. There is no fixed company-wide working schedule and no requirement to follow one specific time zone. Team members are expected to maintain sufficient working-hours overlap with their immediate colleagues to collaborate effectively. The successful candidate will work from Poland and collaborate with frontend, backend, Machine Learning and product specialists located across different regions. Poland-based employees join existing global teams rather than a separate local team. The exact reporting line and hiring manager will be confirmed during the recruitment process. How the team works The company believes that outstanding products are built by small, highly capable and hands-on teams. Decisions are made collaboratively, while individuals are expected to take ownership, bring structure to ambiguous problems and execute independently. The team moves quickly while balancing production quality, experimentation and continuous learning from real user behavior. There is no fixed hiring quota for this position. The company is focused on identifying engineers who meet its technical and ownership standards rather than filling a predetermined number of seats. Recruitment process The standard recruitment process consists of up to four stages: Technical assessment, where relevant to the candidate’s background. HR interview. One or more technical interviews. Founder or leadership interview. Particularly strong candidates may be fast-tracked directly to the technical interview stage based on their experience and previous work. Applications are evaluated by members of the technical team. Interviews may be conducted virtually and, where relevant, onsite. The exact format and interviewers may vary. The company aims to make decisions efficiently and provide candidates with a prompt outcome.

🏢 Summary: Join a cross-functional product team to build and operate scalable, high-throughput Java backend solutions for eCommerce core processes. The role combines hands-on architecture, quality ownership and product discovery, with daily use of AI-assisted and agentic coding workflows. 🗂️ Requirements: Java 21+ backend experience, Reactive or asynchronous programming experience, Virtual threads experience, Distributed backend systems experience, Event-driven messaging experience, CI/CD and automated testing experience, Code review and observability experience, AI coding tools and agentic workflow experience, Product-oriented cross-functional collaboration 📃 Skills: Java, Vert.x, Reactor, Kafka, CI/CD, DDD, SOLID, Claude, Copilot, Scrum, Kanban 🏢 Description: We are one of Switzerland's leading online shops in both B2C and B2B - a combination that is nearly unique in Europe. Behind it stands one of the most modern logistics operations on the continent: highly automated, scalable and with further growth potential. Here you do more than build software. You bring your personality, actively shape the department and help define the eCommerce of tomorrow. The role Join a cross-functional product team and build scalable solutions with real impact for our customers and core business processes. You bring curiosity, team spirit and a genuine appetite for learning - and you take part in shaping not just the implementation, but the architecture, quality standards and the question of what should be built in the first place. What to expect A collaborative cross-functional product team with a hands-on Team Lead, a Product Manager and several T-shaped Full-Stack Engineers who share ownership together. You work in Scrum or Kanban depending on what fits the team. Engineers roll up their sleeves in refinement and actively contribute to architecture and product decisions - not just implementation. Plenty of room to shape high code quality within your team and across team boundaries. Enough legacy, complexity and grown structures to give you real opportunities to make things meaningfully better - one step at a time. What you bring We are a good match if you: Java & Backend Depth Bring deep, hands-on experience with Java 21+ - including modern language features such as records, sealed classes, pattern matching and structured concurrency Have practical experience with reactive or asynchronous programming models - with Vert.x, Project Reactor or comparable toolkits; you understand the non-blocking programming model and know when to apply it Have worked with Java virtual threads (Project Loom) and understand how they change concurrency models in practice - not just in theory Have built and operated distributed backend systems at scale - ideally in eCommerce or comparable high-throughput domains Are comfortable with event-driven communication patterns (Kafka, messaging systems) and understand the trade-offs between synchronous and asynchronous approaches Engineering Practices Have lived modern engineering practices in your daily work: CI/CD, automated testing, decoupling, code reviews and observability See concepts like DDD, Clean Architecture, Event-Driven Architecture, SOLID, feature flags and dependency injection as practical tools - not buzzwords - and apply them with pragmatism and judgement Are a strong advocate of "you build it, you own it" and have experience in environments that release multiple times per day Guide the team on code quality and meaningful testing practices - not coverage as a goal in itself, but tests that catch real bugs AI / Agentic Coding - a core expectation, not a nice-to-have Use AI coding tools - such as Claude Code or GitHub Copilot - as a natural part of your daily workflow for code generation, test writing, refactoring and documentation Go beyond autocomplete: you actively explore agentic workflows such as automated PR review, scaffolding, and multi-step code generation - and you evaluate their output critically before committing Understand the risks: you know that AI-generated code can accelerate technical debt and erode understanding if not reviewed carefully, and you enforce review standards accordingly Help introduce and shape AI tooling adoption within the team - sharing what works, what does not and where the limits are Collaboration & Product Mindset Enjoy sharing knowledge through pair programming, whiteboard sessions and code reviews - and actively help raise the engineering level of the team Like working closely with Product Managers and genuinely want to understand the problem being solved - you help shape requirements and think from a user and business perspective Value real agility: short iterations, fast learning, active feedback loops and data-informed decisions Are a warm communicator who values an open learning culture, builds personal connections within the team and does not take themselves too seriously We are probably not a good match if you: Prefer frameworks like SAFe or projects that start with a fixed requirements document Have worked primarily in heavily regulated environments without experience in a fast-moving, product-oriented setup with distributed systems Are most comfortable in models where infrastructure, backend, frontend, testing and product thinking are kept strictly separate Prefer to receive requirements fully formed rather than shaping them together with Product Management See AI tools as a threat or a gimmick rather than a genuine productivity multiplier worth mastering See ongoing learning primarily as the employer's responsibility rather than your own intrinsic motivation Are more frustrated than energised by imperfect systems - spoiler: we are not there yet Keep work and good humour strictly apart

🏢 Summary: Backend Engineer role focused on building and operating the AI inference and orchestration systems behind a production AI assistant. The position emphasizes low-latency, high-throughput APIs, distributed-system reliability, observability and performance optimization for mobile, desktop and machine-learning integrations. Remote-first collaboration is available for a candidate working from Poland, with base salary and equity assessed individually. 🗂️ Requirements: Production backend engineering experience, High-throughput, low-latency service experience, AI inference familiarity: LLMs, embeddings, multimodal models, Distributed-systems debugging under load, Production observability and incident-management knowledge, Performance-optimization expertise, Independent delivery in ambiguous environments, Working from Poland, Working-hours overlap with immediate team 📃 Skills: Python, Node.js, PyTorch, OpenAI, Anthropic, LLMs, Embeddings, SQL, NoSQL, Kubernetes, Docker, APIs, Caching, Batching, Streaming, Logging, Alerting 🏢 Description: About the product Our client is developing an AI-native assistant designed to support everyday communication, organization, errands and complex workflows with minimal user input. The product must reliably manage long-running processes, retain context, interact with external tools and complete real-world tasks despite the non-deterministic nature of modern AI models. The company’s objective is to make everyday activities significantly faster and easier for users. About the role As a Backend Engineer specializing in AI systems, you will own the inference and orchestration layer behind the product’s AI interactions. Your work will sit between models and end users, where latency, correctness, reliability and operating costs directly affect the product experience. You will build and operate production systems that transform model capabilities into fast, stable and observable APIs used by mobile and desktop applications. What you will do Build and operate backend systems serving AI-powered functionality in production. Design inference pipelines, orchestration layers and service boundaries around Machine Learning models. Take ownership of production monitoring, logging, alerting and incident response. Optimize latency and throughput across inference, caching, batching and streaming. Build reliable APIs supporting integration with mobile, frontend and Machine Learning systems. Diagnose distributed-system issues under production load. Continuously improve system performance and reliability using real-world production signals. What we are looking for Strong backend engineering fundamentals supported by experience with production systems. Experience building or operating high-throughput, low-latency services. Familiarity with AI inference patterns, including LLMs, embeddings and multimodal models. Confidence debugging distributed systems under load. Understanding of production observability, incident management and performance optimization. A delivery-oriented mindset focused on shipping, observing production behavior and improving through iteration. Ability to work independently and make pragmatic engineering decisions in an ambiguous environment. What success looks like Backend systems reliably handle production AI traffic at scale with low latency and high throughput. APIs remain stable, clear and easy to integrate with frontend, mobile and Machine Learning systems. Production incidents are detected quickly, diagnosed effectively and resolved with minimal impact on users. System performance and reliability improve continuously based on real-world usage and production data. Technology stack Python Node.js PyTorch OpenAI, Anthropic and open-source LLMs SQL and NoSQL databases Kubernetes Docker Compensation and employment The position is offered under an employment contract. The company does not publish a fixed external salary range. Compensation is assessed individually based on: professional experience and technical capability, scope of responsibility, location and relevant market benchmarks, expected impact on the product and organization. Candidates may share their expected compensation at the beginning of the recruitment process. The compensation package consists of a base salary and equity, with flexibility for exceptional candidates. A company laptop will be provided where required for the role. Remote work and global collaboration The company operates as a remote-first, globally distributed organization. There is no fixed company-wide working schedule and no requirement to follow one specific time zone. Team members are expected to maintain sufficient working-hours overlap with their immediate colleagues to collaborate effectively. The successful candidate will work from Poland and collaborate with backend, Machine Learning, mobile and product specialists located across different regions. Poland-based employees join existing global teams rather than a separate local team. The exact reporting line and hiring manager will be confirmed during the recruitment process. How the team works The company believes that outstanding products are built by small, highly capable and hands-on teams. Decisions are made collaboratively, while individuals are expected to take ownership, bring structure to ambiguous problems and execute independently. The team moves quickly while balancing production quality, experimentation and continuous learning from real user behavior. There is no fixed hiring quota for this position. The company is focused on identifying engineers who meet its technical and ownership standards rather than filling a predetermined number of seats. Recruitment process The standard recruitment process consists of up to four stages: Technical assessment, where relevant to the candidate’s background. HR interview. One or more technical interviews. Founder or leadership interview. Particularly strong candidates may be fast-tracked directly to the technical interview stage based on their experience and previous work. Applications are evaluated by members of the technical team. Interviews may be conducted virtually and, where relevant, onsite. The exact format and interviewers may vary. The company aims to make decisions efficiently and provide candidates with a prompt outcome.

🏢 Summary: Senior Full Stack Developer role focused on building and evolving scalable platform features, primarily with PHP and Symfony, while delivering high-performance Vue.js interfaces using server-side rendering. The position owns features end to end, contributes to architectural decisions, and collaborates with a distributed product and engineering team. 🗂️ Requirements: 5+ years of full-stack development experience, Production-ready application delivery experience, Strong PHP expertise, Symfony framework experience, Scalable architecture and software design knowledge, Vue.js experience, Server-side rendering experience, Git proficiency, Modern collaborative development workflow experience, Complex technical problem-solving skills, Effective communication in a distributed global team 📃 Skills: PHP, Symfony, Vue.js, SSR, Git 🏢 Description: What it's all about The Team: At JobLeads, we believe careers should be shaped with purpose, confidence, and opportunity. That’s why we build technology that helps professionals around the world take control of their career journeys. Behind that mission is our Tech Team, a vibrant, globally distributed group of builders, thinkers, and collaborators who care deeply about the experiences we create. We’re a team that values curiosity, ownership, and human connection. We collaborate across borders and time zones, challenge each other to grow, and celebrate the wins-big and small-along the way. From your very first day, you’ll feel it: this is a place where ideas are welcomed, contributions matter, and people genuinely enjoy working together. Your Role: We’re looking for a Senior Full Stack Developer who thrives on building elegant systems and meaningful user experiences. In this role, you’ll help shape the architecture and performance of the platform that powers JobLeads, primarily working on our backend systems with PHP and Symfony while also contributing to dynamic, high-performance interfaces using Vue.js and Server-Side Rendering. But this role goes beyond simply writing code. You’ll help drive technical decisions, influence the evolution of our platform, and play a key part in delivering products that empower millions of professionals worldwide. What You'll Be Doing: Design and develop scalable backend services using PHP and Symfony, ensuring performance, stability, and maintainability across the platform. Build responsive, high-performance front-end experiences with Vue.js and Server-Side Rendering, bridging design and functionality seamlessly. Collaborate closely with product managers, designers, QA engineers, and fellow developers to bring ideas from concept to launch. Participate in thoughtful code reviews that elevate code quality, strengthen architecture, and support team learning. Explore emerging technologies and propose improvements that help evolve and modernize our tech stack. Take ownership of features from initial concept through implementation, optimization, and continuous improvement. What You'll Need: 5+ years of experience in full-stack development, delivering production-ready applications. Strong expertise in PHP and a deep understanding of software design principles and scalable architecture. Extensive hands-on experience with the Symfony framework. Proven experience building modern front-end interfaces with Vue.js and Server-Side Rendering. Proficiency with Git and modern collaborative development workflows. A strategic, problem-solving mindset with a passion for tackling complex technical challenges. Clear and effective communication skills, especially when collaborating with a distributed global team. Nice If You Have: Experience working with MySQL and ORM frameworks such as Doctrine. Strong front-end fundamentals, including HTML5, CSS3, and modern JavaScript practices. What You Can Expect On Board: Fully remote work - collaborate with us from wherever you do your best work. Flexible hours designed to support both productivity and personal balance. The freedom to choose your preferred equipment so you can work comfortably and effectively. Competitive compensation aligned with your expertise and impact. A diverse, supportive team culture that values openness, collaboration, and fresh ideas. Opportunities for professional growth through learning resources, training, and conference support. The chance to build technology that genuinely improves the lives of job seekers around the world. Memorable team experiences, from EU meetups to our annual company summer getaway. The excitement of a startup mindset combined with the stability of a well-established company. At JobLeads, your work won’t just power a platform, it will help millions of professionals discover new opportunities, pursue meaningful careers, and shape their futures with confidence. If you’re passionate about great technology, inspired by purposeful work, and excited to collaborate with a talented global team, we’d love to hear your story. Apply now with your CV in English, and let’s build something that truly matters, together. About us At JobLeads our mission is to enable jobseekers to land a better job faster. On this mission we are digitizing every aspect of career coaching to make it accessible and affordable to every jobseeker worldwide. We are active in 40+ countries and our products reach over 4 million users monthly. We are a fully remote company with a positive, diverse, and supportive culture. We look for people who are curious, inventive, analytical and work to be a little better every single day. We aim to be smart, humble, hardworking and, above all, collaborative.