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  Design, develop, and maintain scalable backend services using Golang.
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  Collaborate with product, blockchain, and front-end teams to implement new features.
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  Optimize applications for maximum speed and scalability.
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  Participate in code reviews, testing, and deployment processes.
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  Troubleshoot, debug, and upgrade existing systems.
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  Stay updated with emerging trends in blockchain, crypto, and distributed systems.

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  Strong programming experience in Golang.
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  Solid understanding of blockchain concepts (DeFi, smart contracts, wallets, transactions).
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  Experience with microservices architecture and RESTful API development.
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  Familiarity with databases (SQL and NoSQL) and caching systems.
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  Knowledge of concurrency patterns and high-performance systems.
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  Understanding of security best practices in crypto applications.
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  Version control experience, preferably Git.

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  Experience with Ethereum, Solana, or other blockchain protocols.
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  Knowledge of crypto exchange platforms or trading systems.
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  Familiarity with Docker, Kubernetes, and cloud infrastructure.

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  Bachelor's degree in Computer Science, Engineering, or a related field.
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  Minimum 3 years of Golang development experience, ideally in blockchain or fintech.

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  Competitive salary and benefits.
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  Opportunity to work on cutting-edge blockchain projects.
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  Collaborative and innovative work environment.
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  Career growth and learning opportunities in the crypto space.

• Develop, optimize, and maintain React-based web applications.
• Implement UI designs in close collaboration with a dedicated UX/UI designer.
• Work across teams, engineering, data science, and product, to translate complex AI and data outputs into clear, intuitive user interfaces.
• Drive best practices in frontend architecture, performance, accessibility, and responsiveness.
• Contribute to component libraries and ensure a cohesive design system across products.
• Participate in agile ceremonies including sprint planning, stand-ups, and retrospectives.
• (Optional) Grow into a Scrum Master role if desired.

• Strong, hands-on experience with React, JavaScript/TypeScript, HTML, and CSS.
• Solid understanding of frontend architecture, design systems, accessibility, and responsive design.
• Comfortable working with UX/UI designers and implementing high-fidelity designs.
• Experience with data-heavy interfaces, dashboards, or visualizations is a plus.
• Familiarity with agile/scrum workflows; interest in Scrum Master responsibilities is welcome but not required.
• A proactive mindset, you take ownership and enjoy delivering polished, high-quality user interfaces.

• Work at the intersection of AI, data, and sustainable agriculture, contributing to globally impactful solutions.
• Be part of a subsidiary backed by a major global Agrotech leader.
• Take technical ownership of the frontend and influence product direction.
• Join a friendly, innovation-driven team where initiative and craftsmanship are valued.
• Competitive salary, solid benefits, and flexible working arrangements.

My client is looking for a QA Engineer with strong experience in both manual testing and test automation. You will be responsible for ensuring software quality through comprehensive test planning, execution, and automation. The ideal candidate is detail-oriented, proactive, and able to work closely with development and product teams.

Key Responsibilities

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  Perform manual testing including functional, regression, integration, and UAT
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  Design, develop, and maintain automated test scripts for web, mobile, and API testing
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  Build and enhance test automation frameworks
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  Review requirements and provide test effort estimations
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  Log, track, and verify defects through resolution
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  Execute test cases (manual and automated) and document results
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  Collaborate with developers and product owners to identify and resolve issues
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  Support CI/CD test integration and contribute to continuous improvement
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  Prepare test documentation including test plans, test cases, and test reports

Required Skills & Experience

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  3-7 years of QA experience, covering both manual and automation testing
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  Hands-on experience with automation tools/frameworks (Selenium, Cypress, Appium, Playwright, etc.)
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  Solid programming/scripting knowledge (Java, JavaScript, Python, etc.)
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  Strong experience in manual testing across different test types
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  Proficiency in API testing (Postman, RestAssured, etc.)
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  Familiarity with CI/CD tools (Jenkins, GitLab CI, Azure DevOps)
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  Good understanding of SDLC, STLC, Agile/Scrum
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  Strong analytical and problem-solving skills
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  Excellent documentation and communication skills

Good to Have

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  Performance testing (JMeter, Gatling)
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  Mobile testing experience
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  Experience in cloud environments (AWS, Azure, GCP)

Education

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  Bachelor's degree in Computer Science, IT, Engineering, or related field

• Build robust data ingestion pipelines from systems such as PMS, DMS, CRM, HR and Risk/Conflicts
• Integrate data from SQL databases, APIs and cloud services
• Create and optimise datasets and semantic models designed for scalability and performance
• Write advanced DAX calculations and measures
• Develop compelling dashboards and interactive/paginated reports following data storytelling best practices
• Maintain accurate and secure master data (clients, matters, timekeepers, etc.)
• Work closely with stakeholders to translate business needs into technical solutions
• Implement version control using Azure DevOps Repos/GIT
• Monitor and enhance Power BI Service performance and refresh cycles
• Stay ahead of emerging Power BI features, updates and industry best practices

• Experience delivering enterprise-grade Power BI solutions, ideally within a legal or professional services environment
• Strong understanding of data modelling, star schema design, and ETL processes
• Experience with Microsoft Fabric, Synapse, Azure SQL or Data Lake
• Familiarity with Azure DevOps/GIT for source control
• Strong analytical mindset with excellent communication and stakeholder engagement skills
• Experience with systems such as Dynamics 365

• Identify and implement opportunities where AI can create tangible value for customers.
• Design and develop production-grade AI solutions that automate complex tasks.
• Build and optimize advanced NLP models for document analysis and interpretation.
• Contribute to finding the right ML framing of industry challenges.
• Create scalable AI systems that can handle diverse requirements across different markets.

• Take algorithms from proof-of-concept to production, ensuring robustness and scalability.
• Establish processes for large-scale data analysis, model development, validation, and deployment.
• Build and maintain ML infrastructure that can evolve with growing needs.
• Implement monitoring systems to track model performance and accuracy.
• Ensure AI solutions maintain high standards of explainability and ethical considerations.

• Work closely with product managers and subject matter experts to translate business requirements into technical solutions.
• Partner with engineering teams to integrate AI capabilities into the core platform.
• Contribute to technical documentation and knowledge sharing.
• Participate in architecture discussions and technical decision-making.

• 5+ years of hands-on experience in production environments, with a strong track record of designing and architecting distributed systems.
• Experience developing and deploying production-grade software using ML frameworks such as TensorFlow, PyTorch, etc.
• Deep understanding of engineering and infrastructure best practices, with a focus on the ML software development lifecycle.
• Expertise in building, fine-tuning, and optimizing Large Language Models (LLMs), transformer architectures, and advanced NLP systems using frameworks like Hugging Face and OpenAI SDKs.
• Strong background in modern deep learning techniques, LLMs, and data-intensive applications.
• Familiarity with state-of-the-art agentic AI frameworks (e.g., LangChain, AutoGen, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, Google's ADK) and experience orchestrating multi-agent workflows.
• Knowledge of techniques for optimizing ML inference performance.
• Hands-on expertise designing and managing batch and real-time ML pipelines/workflows for structured and unstructured data on AWS (SageMaker, ECS, EKS, Airflow).
• Familiarity with LLMOps and observability tools (Langsmith, Opik, Ragas, Weights & Biases) for monitoring, evaluation, and governance.
• Excellent communication skills and the ability to collaborate effectively across teams.

• Praca zupełnie zdalna
• Codzienna komunikacja odbywa się po angielsku z uwagi na międzynarodowych klientów/ zespoły
• będziesz odpowiedzialny za projektowanie, rozwój, testowanie i utrzymanie aplikacji webowych. Będziesz dzielić się z zespołem swoją wiedzą, nowymi pomysłami i będziesz wsparciem dla młodszych inżynierów. Również będziesz pomagał w tworzeniu procesów zespołowych i w wyborze narzędzi wspierających te działania. Do Twoich obowiązków również będzie przegląd kodu, rozwój wiedzy o architekturze technicznej oraz aktywne uczestnictwo w badaniach nad nowymi funkcjami produktu.

• Ponad 7 lat praktycznego doświadczenia w tworzeniu komercyjnych aplikacji internetowych przy użyciu języka Python
• Biegłość w zakresie aplikacji internetowych opartych na danych
• Praktyczne wykorzystanie zasad programowania SOLID
• Praktyczne wykorzystanie zasady programowania Domain-Driven Design
• Doświadczenie w pracy z dużymi modelami językowymi (LLM) i innymi technologiami NLP w systemie wieloagentowym
• Co najmniej 2 lata doświadczenia w tworzeniu stron internetowych oraz pracy w środowisku Scrum/Kanban/Agile
• Podstawowa znajomość metod i algorytmów uczenia maszynowego
• Umiejętność dobrej współpracy z analitykami biznesowymi, programistami i użytkownikami końcowymi w zespole wielofunkcyjnym
• Doświadczenie w projektowaniu modeli danych oraz wdrażaniu i obsłudze baz danych SQL (MySQL, MariaDB, PostgreSQL)
• Biegły j.angielski w mowie i piśmie

• At least 2 years of experience in technical development and configuring the Stibo STEP platform.
• Proven experience in end-to-end PIM/MDM implementations.
• Knowledge of workflows, business rules (JavaScript), WebUI, and reporting.
• Experience working in Agile environments and tools such as Azure DevOps.
• Stibo Systems certification is highly valued.
• Proficiency in JavaScript with experience in Stibo Step.
• Familiarity with Salesforce Sales Cloud and its integration.
• Solid understanding of data management principles and best practices.
• Strong analytical and problem-solving skills combined with effective communication abilities.
• Advanced English.

• Indefinite contract with the end client.
• Competitive salary + benefits + bonus.
• Hybrid model: 2 days in the Madrid office.
• Reduced schedule on Fridays and during August.
• Work permit provided by the client.
• Relocation package provided by the client.
• Career development plan and internal training programs.

• Architect and implement AI infrastructure and work-flows from scratch.
• Collaborate closely with engineering, product, and leadership to drive AI adoption.
• Build and integrate Gen AI tools into the core product.
• Contribute to the long-term AI strategy and help shape future hires.
• Mentor junior engineers (no formal line management responsibilities).

• Proven experience as a Senior Software Engineer with a strong background in AI/GenAI product integration.
• Hands-on experience with LLMs, RAG, agentic AI, and cloud-native development (especially AWS).
• End-to-end understanding of the AI lifecycle from experimentation to deployment at scale.
• Strong communicator and team player with a collaborative mindset.
• Comfortable working across multiple backend languages and microservices.

• Languages: Node.js/TypeScript, Go, Python, PHP
• AI & Infra: LLMs, RAG, Agentic AI, AWS Bedrock, IaC
• Cloud: AWS

• 30 days' vacation
• 4,000 SEK wellness allowance
• 2,500 SEK home office allowance
• ITP1 Pension
• Life & occupational insurance
• Remote-first culture with flexibility