AI and machine learning roles are the fastest-growing segment in tech, commanding 15–25% higher salaries than the general developer average. Roles span LLM engineering, MLOps, computer vision, NLP, data science, and applied AI research.
[Industry: IT Services and IT Consulting | Type: Full-time | Level: Mid-Senior level] Before you apply to a job, select your language preference from the options available at the top right of this page.Explore your…
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[Industry: IT Services and IT Consulting | Type: Full-time | Level: Mid-Senior level] Before you apply to a job, select your language preference from the options available at the top right of this page.Explore your next opportunity at a Fortune Glob
[Applicants: Over 200 applicants | Industry: Software Development | Type: Full-time | Level: Entry level] We’re building an all-in-one legal intelligence platform to reimagine the $350B enterprise legal market. We grow…
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[Applicants: Over 200 applicants | Industry: Software Development | Type: Full-time | Level: Entry level] We’re building an all-in-one legal intelligence platform to reimagine the $350B enterprise legal market. We grow 10x in recent months.
You will work on integrations with various platforms, including mobile and AR applications, using Azure cloud services and DevOps practices to streamline deployments and maintain operational stability and reliability.…
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You will work on integrations with various platforms, including mobile and AR applications, using Azure cloud services and DevOps practices to streamline deployments and maintain operational stability and reliability. Responsibilities: Design, build, and maintain full-stack SaaS applications (React frontend, Node.js/TypeScript backend, REST APIs) Model and implement core business domains using Domain-Driven Design (DDD) principles Develop and operate scalable cloud services on modern cloud platforms (AWS, Google Cloud, or Azure) Own backend services, APIs, and data models using NoSQL databases (MongoDB or compatible) Collaborate closely with product, AR/mobile, and AI teams to integrate end-to-end solutions Improve code quality, testing, and reliability through modern DevOps and QA practices Contribute to CI/CD pipelines, automated testing, and infrastructure as code Support production deployments and ensure system stability, monitoring, and performance Evolve the system architecture in line with product and scaling needs Preferred Qualifications: 5+ years of professional experience as a Full-Stack Engineer Strong hands-on experience with Node.js, TypeScript, and React Solid experience building RES...
Apply via Dice today! Title: Principal Software Engineer – AI/ML Platforms Location: Portland, OR - Onsite Duration: 24 months Required Qualifications Bachelor’s degree in Computer Science, Engineering, or related field…
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Apply via Dice today! Title: Principal Software Engineer – AI/ML Platforms Location: Portland, OR - Onsite Duration: 24 months Required Qualifications Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience) Strong experience designing and owning multiple production software systems Solid understanding of frontend and backend development Experience building or integrating AI/ML-powered systems, including Agentic AI Experience working with globally distributed engineering teams Proficiency in Linux environments, including debugging and system-level troubleshooting Strong technical documentation and communication skills Preferred Qualifications Experience with AI platforms, ML pipelines, or agent-based architecture Experience with dashboards or data visualization platforms Familiarity with CI/CD pipelines and release automation Experience supporting production systems in enterprise environments Show less [{"type":"people_also_viewed","href":"https://www..com/jobs/view/senior-software-engineering-educator-at-mercury-4341185078","jobId":"4341185078","label":"Senior Software Engineering Educator"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/senior-software-engineer-core-experiences-gresham-usa-at-speechify-4313488337","jobId":"4313488337","label":"Senior Software Engineer, Core Experiences - Gresham, USA"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/senior-software-engineer-full-stack-north-america-software-center-at-tsmc-4363435833","jobId":"4363435833","label":"Senior Software Engineer (Full Stack) - North America Software Center"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/staff-software-engineer-backend-pmi-core-at-affirm-4368536062","jobId":"4368536062","label":"Staff Software Engineer, Backend (PMI Core)"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/principal-software-engineer-full-stack-at-veeva-systems-4280732414","jobId":"4280732414","label":"Principal Software Engineer - Full Stack"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/senior-software-engineer-full-stack-at-veeva-systems-4360836111","jobId":"4360836111","label":"Senior Software Engineer - Full Stack"},{"type":"people_also_viewed","href":"https://www..com/jo...
[Industry: Financial Services | Type: Full-time | Level: Mid-Senior level] Building the Future of CryptoOur Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the…
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[Industry: Financial Services | Type: Full-time | Level: Mid-Senior level] Building the Future of CryptoOur Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain
Join Sector Alarm as a Full Stack developer! DevOps and Cloud: Experience with Azure Kubernetes, microservices architecture, Azure cloud infrastructure...
Kubernetes experience in deployment and microservices within AI DevOps and DevSecOps experience Experience with LLMs and ML Ops pipelines. Experience in developing voice-based conversational AI solution using LLMs.
Deploy and maintain cloud infrastructure (preferably AWS) supporting AI/ML workloads, containers/servers, model-deployment pipelines. Experience building and operating scalable cloud-native services (AWS preferred) for…
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Deploy and maintain cloud infrastructure (preferably AWS) supporting AI/ML workloads, containers/servers, model-deployment pipelines. Experience building and operating scalable cloud-native services (AWS preferred) for AI workloads.
You're passionate about the potential of agentic AI and stay current with the rapidly evolving landscape of AI technologies. Requirements: Technical Skills Minimum 5+ years of experience building production-grade AI/ML…
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You're passionate about the potential of agentic AI and stay current with the rapidly evolving landscape of AI technologies. Requirements: Technical Skills Minimum 5+ years of experience building production-grade AI/ML systems, with at least 2 years specifically in agentic or LLM-based architectures.
Salary tags blend employer provided ranges with Catalitium estimates. We mark ranges with Est. labels, note any missing data, and never inflate compensation to boost clicks.
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Yes. Remote-friendly AI and ML roles in the EU have grown over 30% year-on-year. Germany, France, the Netherlands, and Spain lead in volume. Use the AI and EU filters together to surface them quickly, and check the salary estimate badge to ensure the range meets your expectations.
How fresh are the job postings?
Listings are refreshed continuously from employer feeds and normalised daily. Each card shows a posted date pill so you can see exactly how old a listing is. Jobs posted within the last 7 days receive a green New badge. Listings older than 30 days receive a May be filled warning.
Do roles include salary estimates?
Yes. Most listings show an Est. salary pill derived from Catalitium's location-based salary database, blended with any employer-disclosed range. Senior and lead roles receive an automatic seniority uplift. If a salary range is genuinely unknown we leave the field blank rather than show a misleading estimate.
What is a ghost job and how do I spot one?
A ghost job is a listing that has been live for 30+ days and is likely already filled, on hold, or was never a real opening. Research suggests up to 40% of active listings at any time are ghost jobs. Catalitium flags every listing older than 30 days with a triangle May be filled badge so you can prioritise your energy on fresh openings.
What are the highest-paying tech roles right now?
AI and ML engineer roles currently command the highest median salaries on Catalitium, around $150k–$200k USD in the US and EUR 100k–EUR 160k in Europe. Principal and Staff Engineer roles come close, followed by senior full-stack and cloud infrastructure engineers. Use the >100k filter to see only high-compensation listings.
How do I negotiate a higher salary offer?
Reference Catalitium's salary data when negotiating: show the employer the market range for your role and region. Studies show engineers who negotiate receive 10–20% more than the initial offer on average. If base salary is fixed, push on equity, signing bonus, remote allowance, and learning budget. See our Salary Negotiation Guide in the Resources section.
Which European cities pay the most for tech?
Zurich and Geneva (Switzerland) consistently top European tech salaries, followed by London, Amsterdam, Berlin, Paris, and Stockholm. Swiss salaries are typically quoted in CHF and translate to EUR 100k–160k for mid-senior roles. London follows at GBP 70k–110k. Berlin and Amsterdam are competitive at EUR 70k–100k for comparable experience levels.
Can I track my job applications on Catalitium?
Yes. Our free Application Tracker lets you move roles through a Kanban pipeline: Applied, Phone Screen, Interview, Offer, and Closed. It requires no account and stores everything privately in your browser. Hit the Track button on any job card to add it. You can also export your full pipeline as a CSV.
How does Catalitium differ from LinkedIn Jobs?
LinkedIn optimises for engagement and premium upgrades. Catalitium is built exclusively for tech candidates who want signal over noise: every listing shows salary estimates, ghost jobs are flagged, AI-powered summaries save you time reading descriptions, and the application tracker replaces the black-hole Easy Apply experience. No premium paywall, no recruiter spam.
Can I filter to remote-only jobs?
Yes. Choose Remote in the location/country field or tap a Remote shortcut chip. Results are limited to roles that advertise remote or hybrid where the listing text supports it, and remote-friendly rows show a Remote badge.
Which tech stacks are most in demand?
Across Catalitium tech listings, Python, TypeScript/JavaScript, Go, Java, and cloud platforms (AWS, GCP, Azure, Kubernetes) recur most often; AI and data roles add PyTorch, TensorFlow, and LLM tooling. Title and AI summary chips reflect the employer's stated stack.
Which Swiss cities pay the most for software roles?
Zurich and Geneva typically lead Switzerland for software, data, and platform engineering compensation; smaller hubs follow at a discount. Swiss ranges often sit above neighbouring EU markets for comparable seniority—check Est. salary on each card when you filter by Switzerland.
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