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Qualifications
Proficient in programming languages such as Python, Java, or C++. Experience with AI and machine learning frameworks. Strong understanding of search algorithms and data structures. Ability to work effectively in a remote and collaborative environment. Excellent problem-solving skills and attention to detail.
About the job
Join our dynamic team as a Software Engineer specializing in AI Search. In this role, you will be responsible for designing, developing, and implementing advanced search algorithms that enhance user experience and optimize data retrieval efficiency.
We are looking for innovative thinkers who are passionate about artificial intelligence and eager to tackle complex challenges. As a part of our fully remote team, you will collaborate with talented professionals from various backgrounds to deliver cutting-edge solutions that drive our business forward.
About AffiniPay
AffiniPay is a leader in payment processing solutions, dedicated to providing innovative financial services that enhance business operations and customer satisfaction. Our commitment to technology and excellence sets us apart in the industry.
Gen Digital brings together brands like Norton, Avast, LifeLock, and MoneyLion to support digital freedom and security for nearly 500 million users worldwide. The company’s products address cybersecurity, privacy, identity protection, and financial wellness. Collaboration, experimentation, and a diversity of perspectives shape the way the team works. The AI …
Role Overview Rossum AI is hiring a Junior AI Platform Engineer to join the AI Platform (R&D) team in Prague. This entry-level role suits recent graduates or junior engineers interested in AI infrastructure and large-scale machine learning systems. As part of the team, you will help build and maintain Rossum’s proprietary LLM models. The work involves deploying AI solutions that process millions of documents, and collaborating closely with experienced research engineers. This position offers hands-on exposure to both platform engineering and machine learning in a production environment. What You Will Do Contribute to AI Infrastructure: Support the development of cloud-based AI systems (AWS), data processing pipelines, and model deployment workflows. Support CI/CD Processes: Help maintain and improve continuous integration and delivery pipelines to enable reliable model versioning and testing. System Monitoring: Build and refine monitoring tools to keep AI systems healthy and reliable. Cross-Team Collaboration: Work with research, backend, and product teams to bring new AI models into production smoothly. What We Look For Education: Degree in Computer Science or a related technical field. Background from Matfyz, CTU, FSV, or similar institutions is a plus. Python Skills: Solid programming experience in Python, gained through coursework, personal projects, or internships. Technical Fundamentals: Familiarity with SQL, and a basic understanding of Docker and Kubernetes. Interest in AI/ML: Curiosity about AI and machine learning, with a hands-on approach to understanding how systems work. English Communication: Comfortable communicating in English in a professional setting. What Success Looks Like First 3 Months: Complete onboarding, learn the system architecture, and deliver your first small tasks with guidance from a senior mentor. First 6 Months: Independently handle minor infrastructure improvements and help maintain system stability.
Join us at the forefront of technology, where we are revolutionizing the data storage landscape. Lead with creativity, evolve with us, and become part of the brightest minds in the industry.Our mission is rooted in work that transforms the world, staying true to the values that founded the tech industry. If you're eager to embrace limitless possibilities and leave your mark, we invite you to join our team.THE ROLEAs a Data / AI Engineer, you will design a high-performance data ecosystem that converts raw data into actionable intelligence and advanced AI solutions. Collaborating with Data Scientists and Product Managers, you will establish the infrastructure necessary to scale our AI capabilities, setting the stage for the future of automated customer support and operational excellence.WHAT YOU'LL DOArchitect Scalable Data Infrastructure: Design, deploy, and enhance ETL pipelines and data models that generate high-quality, AI-ready datasets for global business insights.Drive AI Evolution: Spearhead the technical development of AI-driven workflows, integrating innovative LLM frameworks to automate intricate business operations and improve decision-making.Ensure Data Excellence and Integrity: Oversee the complete data management lifecycle, implementing strong governance, security, and monitoring to uphold a "single source of truth" for key stakeholders.Collaborate and Solve Across Functions: Work alongside cross-functional teams to translate business needs into technical specifications, serving as the vital link that transforms raw data into meaningful organizational impact.Operational Reliability: Manage on-call support during business hours to guarantee smooth operation of ingestion systems, ensuring high availability for our global data users.WHAT YOU BRINGAdvanced Engineering Proficiency: Extensive technical knowledge in SQL, Python, and data modeling, with a successful history of maintaining complex data pipelines and workflow orchestration tools like Airflow or DBT.Modern Data Stack Expertise: Practical experience in managing relational and NoSQL databases (such as Snowflake, PostgreSQL, or MongoDB) within AWS cloud environments.Growth Mindset & AI Curiosity: A strong desire to learn and innovate in the field of AI.
About the RoleJoin Rossum, where we leverage cutting-edge machine learning and an intuitive user interface to streamline document processing and enhance efficiency across various industries. Our AI Research Team develops proprietary neural architectures that drive our production systems, enabling the processing of millions of documents weekly for clients globally.We are seeking a talented Senior AI Research Engineer to become a pivotal member of our AI Research Team (R&D). In this role, you will advance the field of document understanding through the training of innovative models from inception to realization, and by creating research prototypes and solutions that significantly enhance our product's capabilities.You will work at the intersection of groundbreaking global research and our internal model development, directly impacting our long-term model strategy and technical roadmap, enabling successful concepts to swiftly transition into scalable systems for customer use.As part of a collaborative team of seasoned researchers and engineers, you will work closely with Product and AI Platform Teams within a shared monorepo, fostering rapid experimentation, continuous delivery, and tangible customer impact.What You'll DoYou will be a leading force in shaping Rossum's document understanding strategy, managing comprehensive research initiatives while guiding the evolution of our models and platforms.Key Responsibilities Include:Lead research projects spanning deep learning, NLP, computer vision, and multimodal systems — integrating insights from global research with in-house innovation to create proprietary, production-ready models for Rossum.Design and execute innovative experiments with a proactive mindset, rapidly prototyping while evaluating deployment considerations to ensure real-world impact — focusing on inference cost, latency, robustness, and reliability.Manage large-scale NLP and vision training systems, overseeing architecture design, distributed training, and in-house benchmarks to align critical metrics with product needs.Utilize top-tier research infrastructure, including high-performance GPU clusters and large-memory machines, to conduct ambitious experiments at real-world scale.Influence Rossum’s technical roadmap by pinpointing high-impact research directions and driving their development from concept to customer implementation.Mentor and guide junior researchers and engineers, fostering a culture of learning and innovation within the team.
Transform the Future of Financial Services with Capco At Capco, we are at the forefront of management consulting and software development, working in partnership with leading international banks and insurance firms across Western Europe. Our innovative strategies and collaborative culture create an ideal environment for professionals eager to make a significant impact in financial services technology. Curious about our culture and team? Explore more at: Capco Careers Slovakia Why Join Our Team? Work with Prestigious Clients on Exciting Projects – Engage with top-tier banks on transformation initiatives that are reshaping financial services. Commitment to Continuous Learning & Development – Benefit from access to technical and soft skills training, professional certifications, and unlimited usage of the Udemy online learning platform. Flexible Work Environment – Enjoy the freedom to work remotely from anywhere within the Czech Republic. Comprehensive Benefits Package: Private health care & fully paid sick leave & sick days 25 vacation days (irrespective of age) Monthly cafeteria allowance (€50/month) or contribution to the 3rd pillar Fully paid meal vouchers Smartphone with 1TB data + Laptop Focus on Well-being & Community Engagement – Participate in yoga classes, mental health webinars, running challenges, sports activities, or take part in our volunteering initiatives. Competitive Compensation (commensurate with experience) along with an annual bonus & benefits package. Long-term Career Prospects – Indefinite period contract with ample opportunities for professional growth. Your Role – Generative AI Engineer Assist in developing scalable Python applications focused on Generative AI. Explore and implement techniques such as document chunking and embeddings. Collaborate with team members to design user-friendly interfaces (Angular/React) and deployment processes (Docker, Terraform, GitHub Actions). Engage with stakeholders to gather requirements and transform them into functional code. Adhere to coding best practices and contribute to documentation and testing. Skills and Expertise Bachelor's degree in a relevant field Fluent in English (German is a plus) 1–3 years of experience in Python Strong interest in Generative AI, LLMs, and data search technologies Experience with cloud services and DevOps tools is advantageous.
About UsAt duvo, we are on a mission to revolutionize enterprise operations. Traditional data transfer methods cause inefficiencies, resulting in costly and time-consuming processes. We are determined to eliminate this chaos for good.Our dynamic team is dedicated to delivering impactful solutions for our customers. We value humility and hard work, allowing our results to reflect our capabilities.Our VisionWe are developing an innovative Agentic Automation Platform designed for enterprises. This platform enables AI agents to seamlessly execute comprehensive tasks across various UIs and APIs, ensuring built-in governance.Where other copilots fall short, duvo excels. Business users define their desired outcomes, while our agents autonomously plan, execute, seek approvals for exceptions, and learn with each task. We are starting with a focus on retail applications—such as category management and supply chain optimization—where the return on investment is clear, before expanding into other sectors.Our speed is our competitive advantage: we ship quickly, iterate faster, and build upon our learning.
Role overview Pipedrive is hiring a Principal AI/ML Scientist & Engineer in Prague, Czech Republic. This role leads projects focused on artificial intelligence and machine learning, working closely with a skilled team to create solutions that improve business processes and customer experiences. The position plays a key part in shaping the company's AI strategy and driving meaningful results.
Join Anyone AI as a Full-Stack Developer and contribute to innovative projects with a leading artificial intelligence lab. We are seeking talented developers to engage in expert evaluation tasks that challenge your skills and creativity.
Role Overview anyone-ai is looking for a Full-Stack Developer - AI Trainer based in the Czech Republic. This role blends hands-on software development with direct involvement in artificial intelligence projects. The team values curiosity and a strong interest in technology. What You Will Do Build and maintain applications that support AI initiatives Contribute to the development of AI solutions Help train AI systems to improve their accuracy and performance About the Team Work alongside colleagues who are committed to advancing AI technologies. The team tackles new challenges and values creative problem-solving.
Join our dynamic team as a Software Engineer specializing in AI Search. In this role, you will be responsible for designing, developing, and implementing advanced search algorithms that enhance user experience and optimize data retrieval efficiency.We are looking for innovative thinkers who are passionate about artificial intelligence and eager to tackle complex challenges. As a part of our fully remote team, you will collaborate with talented professionals from various backgrounds to deliver cutting-edge solutions that drive our business forward.
anyone-ai develops high-quality STEM training data to support advanced AI models. Our data helps leading AI labs improve model reasoning in technical fields. Role overview The Physics AI Training Specialist will design rigorous, deterministic physics problems for use in training and evaluating AI systems. Every problem must have a single, verifiable correct answer and include a thorough, checked solution. Location Remote role based in the Czech Republic.
Join Bloomreach, the leading innovator in creating a transformative platform for personalization. We are redefining the way businesses engage with their customers by developing and implementing AI-driven agents that personalize the entire customer journey.We are bringing autonomous search to the forefront, making product discovery more intuitive and conversational for customers while enhancing profitability for businesses.We are making conversational shopping a reality, connecting every shopper with customized guidance and product expertise — available on demand, at every touchpoint in their journey.We are envisioning the future of autonomous marketing, simplifying workflows and allowing marketers to focus on the creative, strategic, and customer-centric work they are meant to do.All of this is powered by our proprietary AI engine — Loomi AI — ensuring that personalization is not only autonomous but also consistent. From retail to finance, hospitality to gaming, Bloomreach is trusted by over 1,400 global brands, including American Eagle, Sonepar, and Pandora, to drive growth and foster lasting customer loyalty.
anyone-ai specializes in producing high-quality STEM training data for advanced AI models. The team’s work supports leading research labs by improving how AI systems handle technical subjects. Role overview The Physics AI Training Specialist creates challenging physics problems designed to push the boundaries of current AI capabilities. Each problem must have one clear, correct answer, along with a carefully checked solution. This role focuses on technical rigor and clarity. What you will do Design complex physics problems for AI training and evaluation. Write questions that have a single, unambiguous solution. Develop detailed, step-by-step solutions with clear reasoning. Craft problems that require deep physical insight and multi-step analysis. Use Python or specialized tools to build simulations, models, or computational workflows when needed. Ensure all work meets high standards for technical accuracy, reproducibility, and clear English. Requirements Bachelor’s, Master’s, or PhD in Physics or a closely related field. Significant research or industry experience in theoretical, experimental, or computational physics. Fluency in Python and familiarity with scientific libraries such as NumPy and SciPy. Strong grasp of modeling, simulation, numerical methods, and complex problem-solving. Demonstrated ability to create original, challenging problems that reflect real-world physics scenarios. Excellent attention to detail and strong technical writing skills in English. Preferred qualifications Experience with advanced computational tools and methods. Background in educational content development or training data creation. Location: Czech Republic
Join us in our exhilarating journey to revolutionize the data storage industry with cutting-edge technology. As a part of our team, you'll engage in innovative projects that redefine the tech landscape, working alongside some of the brightest minds in the field.If you are eager to embrace limitless possibilities and make a significant impact, we invite you to become a key player in our mission.THE ROLEAs a Senior Applied AI Engineer, you will design and maintain production-grade AI systems capable of deriving insights from extensive unstructured document collections. Your work will facilitate enterprise data discovery, classification, and governance.You will take ownership of the entire lifecycle of graph intelligence solutions—from problem definition and data modeling to the development and enhancement of knowledge graphs, culminating in the deployment of ML and LLM-powered analytics in production environments. Your focus will be on semantic and contextual analysis of unstructured data to reveal relationships, patterns, and insights that uphold AI safety, security, and compliance standards.WHAT YOU'LL DODesign, construct, and implement graph-based AI solutions, integrating knowledge graphs, LLMs, and ML models tailored for extensive unstructured datasets.Define and manage data pipelines that transform and enrich entity relationships into production-quality knowledge graphs.Incorporate LLMs and ML models into text processing workflows for tasks such as classification, embedding generation, document similarity, and semantic analysis.Architect, deploy, and maintain graph and vector databases to facilitate retrieval, reasoning, and analytics.Enhance models and inference pipelines to meet production constraints including latency, throughput, cost, and infrastructure requirements.Deploy, supervise, and refine ML systems in live environments, ensuring reliability and continuous integration.Lead architectural decisions and set the technical direction for applied AI and graph intelligence solutions.Note: Our work primarily takes place in an office environment, and you will be expected to work from the Prague office in accordance with company policies, except during PTO, business travel, or other approved leaves.
People.ai is a cutting-edge AI-driven foundational data platform, dedicated to empowering organizations in achieving go-to-market success and growth. Our solutions are tailored to meet the unique needs of teams, offering enhanced visibility into pipelines, actionable insights, and a unified source of truth for all sales activities.People.ai stands out with its unique dataset, comprising trillions of sales activities, millions of deals, and a vast network of 160 million business contacts, supported by 69 approved patents in AI-based business insights. Esteemed companies like Verizon, Red Hat, and Palo Alto Networks trust our enterprise-ready, patented AI technology.At People.ai, we embrace the transformative power of creativity, resourcefulness, and critical thinking in enriching the professional landscape. Our diverse team of innovative thinkers is committed to driving meaningful change and fostering growth. We celebrate uniqueness and applaud non-traditional career journeys, drawing inspiration from those who redefine processes.As a Senior Software Engineer within our XCore team, you will engage with one of the most significant projects at People.ai — Forecasting. Your role involves building and continuously improving a live product that serves active daily users, collaborating closely with business teams and customers through discovery calls. Your contributions will directly influence the company’s revenue by shaping and delivering features based on authentic customer feedback, fundamentally impacting how clients plan, forecast results, and make crucial business decisions.Moreover, you will work in collaboration with our Engineering and R&D teams to enhance core Admin Platform services, including authentication, user management, settings, and configurations. Utilizing customer insights and data analytics, you will design and develop high-performance, low-latency systems and APIs that scale effectively while optimizing our operational costs.Ownership is a core value at People.ai — the ability to see an idea through all stages, from conception to product launch. This ethos is deeply ingrained in our engineering culture. As an engineer at People.ai, you will be part of a highly independent and collaborative environment, driving innovation and excellence.
We are seeking a strategic, people-oriented leader to steer one of our three pivotal Engineering Pods as it transitions to an AI-Native operational framework. You will not be working alone; you will have the backing of a dedicated team of specialists, including a Portfolio/FinOps Lead, Quality Engineering Lead, Architecture Lead, and other Directors, along with the VP team. Your primary objective is to connect the engineering potential with the business reality. You will be the catalyst ensuring that our engineering teams go beyond merely building technology to actually delivering substantial value through our AI-Native Strategy. With an AI mindset, you recognize that AI represents not just a tool, but a transformative operational paradigm, and you are driven to see projects through to completion. Your Responsibilities 1. Strategic Execution & Driving Results Execution & Momentum Driver: Your mission is to minimize friction and sustain momentum. You will ensure that strategic initiatives (such as the transition towards Agentic AI) progress seamlessly from exploration to practical implementation, avoiding analysis paralysis or endless proofs of concept. Problem Solving: You will be the key person who resolves obstacles. When a project encounters delays due to interdepartmental misalignment or resource shortages, you will proactively address and resolve these issues. 2. Promoting an AI Mindset & Culture AI Evangelism: While you don’t need to train models, you must comprehend what AI can achieve. You will challenge existing practices by questioning: “Why are we doing this manually?” and “How can AI agents facilitate this workflow?” People-First Leadership: You will mentor Engineering Managers, fostering a culture that embraces a “fail fast, fail forward” philosophy that encourages learning through experimentation while ensuring strong accountability for delivery and knowledge sharing beyond individuals. Change Management: You understand that the journey to AI transformation is 10% technology and 90% people. You will guide the organization through this cultural evolution, transforming fears of automation into enthusiasm for high-value work. 3. AI Factory Economics & Governance Portfolio Management: View engineering initiatives as a valuable investment portfolio...
Join Collibra's Innovative Artificial Intelligence Team We are on the lookout for a seasoned AI Engineer to architect and implement Artificial Intelligence solutions that enhance our customer experience and facilitate informed, data-driven decision-making. If you are passionate about leveraging cutting-edge technologies to create effective, high-performance AI solutions, this role is for you. You will collaborate with a global team of exceptional builders, united by a commitment to innovative technology, problem-solving, and the pursuit of crafting simple, elegant products that engage and delight customers at every level of data interaction. This is a hybrid role based in our Prague office, where you will work on-site at least two days a week. This model fosters connectivity, teamwork, and collective progress.
Purple LAB, part of the Purple Technology group in Brno, develops and manages software for brokers. The team creates web and mobile client portals that handle account management, deposits, and withdrawals. These platforms function much like internet banking systems, supporting traders around the world. Reliability and smooth performance are central to every product. The QA team plays a key role in maintaining high standards and minimizing bugs across all applications. Role overview The Automation QA Engineer with AI Enhancement works on automation for an established product. This position involves improving current automation and identifying new opportunities for enhancement. The team values initiative and expects members to take ownership rather than wait for instructions. Location This role is based in Brno. Learn more Further information about Purple LAB and its projects can be found on the company website.
About ShipMonkAt ShipMonk, we transcend traditional 3PL services; we act as a growth partner for merchants. Our cutting-edge technology combined with our proprietary network of fulfillment centers empowers high-growth eCommerce and DTC brands to focus on growth while we handle fulfillment seamlessly. With a dedicated team of over 2,500 employees across five countries, we are committed to transforming fulfillment. Our mission is to provide the fastest click-to-delivery service, real-time inventory management, and tailored solutions—all driven by a merchant-first philosophy.Why Join ShipMonk?We believe in building enduring partnerships, which is evident through five key differentiators that position us as true allies to our merchants.● Global Fulfillment Network: Our 12+ owned fulfillment centers located across the US, Canada, Mexico, the U.K., and Mainland Europe ensure quality and consistency by never outsourcing our operations.● Proprietary Technology: Our AI-powered platform offers a real-time, unified view of inventory and orders, granting our merchants the control and visibility essential for their success.● Unrivaled Support: We pride ourselves on providing personalized, hands-on support with a global presence. Our dedicated teams are always on-site, ready to assist.● Transparent Pricing: We advocate for honest, long-term partnerships with our all-inclusive pricing model that guarantees predictable costs without hidden fees.● Future Commitment: With over $10 million invested annually in R&D, we ensure our technology and services continuously evolve, solidifying our role as a long-term partner.
Join our innovative team at Lilt, where we are developing a comprehensive evaluation suite of Terminal-Bench tasks to rigorously assess the capabilities of large language models in tackling multilingual software challenges. Our objective is to evaluate multilingual robustness across various prompt languages, non-English data processing, and intricate locale/encoding edge cases in terminal workflows.We are on the lookout for skilled native-speaking software engineers to craft, construct, and validate these benchmarks. You will design high-value, high-quality tasks that authentically assess a model's proficiency in handling multilingual environments without the aid of English translations.This is a remote, freelance position.Target Languages: Spanish, German, Czech, Turkish, Arabic (Egyptian), Korean, Japanese, Hausa, Hindi, Marathi.Key Responsibilities:- Task Engineering: Evaluate coding agents.- Asset Creation: Develop realistic task environments utilizing datasets and files in your native language. It is vital that these assets remain in the target language to accurately measure multilingual handling.- Prompting & Translation: Identify failure points in AI performance, in your native language.- Implementation & Verification: Assist in the creation of robust solutions (reference implementations) and develop highly reliable, deterministic verifier scripts (using rubric-based judging only when absolutely necessary).- Calibration & Execution: Analyze execution logs and adjust task difficulty (Easy to Very Hard) utilizing standard Terminal-Bench run configurations against diverse model tiers (Haiku, Sonnet, Opus).- Quality Assurance: Engage in a thorough, four-layer human quality control process (creation, human review, calibration review, and audit) alongside automated LLM-based checks to guarantee fairness, grammatical precision, and benchmark integrity.
