The US remains the highest-paying market for tech globally. Major hubs include the San Francisco Bay Area, New York, Seattle, Austin, and Boston, plus fully remote-first companies headquartered across the country.
We are looking for an AI Engineer who will design, build, and optimize advanced AI applications leveraging large language models, GPU-accelerated computing, and modern API frameworks. The Opportunity: The AI Engineer…
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We are looking for an AI Engineer who will design, build, and optimize advanced AI applications leveraging large language models, GPU-accelerated computing, and modern API frameworks. The Opportunity: The AI Engineer will architect, implement, and optimize production-ready generative AI systems, working closely with AI leads, ML engineers, and platform teams.
You will work with a wide variety of clients to deliver the latest data science and big data technologies. You will help our clients navigate the complex world of modern data science, analytics, and software engineering.
You will work with a wide variety of clients to deliver the latest data science and big data technologies. You will help our clients navigate the complex world of modern data science, analytics, and software engineering.
You will work with a wide variety of clients to deliver the latest data science and big data technologies. You will help our clients navigate the complex world of modern data science, analytics, and software engineering.
You will work with a wide variety of clients to deliver the latest data science and big data technologies. You will help our clients navigate the complex world of modern data science, analytics, and software engineering.
You will work with a wide variety of clients to deliver the latest data science and big data technologies. You will help our clients navigate the complex world of modern data science, analytics, and software engineering.
As an AI Engineer at Waxell AI, you will develop, optimize, and implement state-of-the-art AI and machine learning models, including neural networks and natural language processing (NLP) systems. Qualifications Strong…
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As an AI Engineer at Waxell AI, you will develop, optimize, and implement state-of-the-art AI and machine learning models, including neural networks and natural language processing (NLP) systems. Qualifications Strong understanding of Pattern Recognition and Neural Networks Proficiency in Computer Science fundamentals, focusing on algorithms and data structures Experience in Software Development, including proficiency in programming languages such as Python, Java, or C++ Expertise in Natural Language Processing (NLP) and machine learning techniques Ability to analyze complex problems and build robust, scalable AI-driven solutions Excellent collaboration and communication skills for cross-functional teamwork Master's or Bachelor's degree in Computer Science, Artificial Intelligence, or a related field is preferred Experience with distributed systems or cloud-based infrastructures such as AWS, GCP, or Azure is advantageous Show less [{"type":"people_also_viewed","href":"https://www..com/jobs/view/data-scientist-at-brooksource-4369554089","jobId":"4369554089","label":"Data Scientist"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/data-scientist-at-insight-global-4368733688","jobId":"4368733688","label":"Data Scientist"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/lead-vp-python-ai-ml-developer-at-kforce-inc-4360726378","jobId":"4360726378","label...
W2 role only (no c2c) Key Responsibilities Architect and develop complex AI agent systems for manufacturing automation and optimization Design and implement multi-agent orchestration frameworks for production…
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W2 role only (no c2c) Key Responsibilities Architect and develop complex AI agent systems for manufacturing automation and optimization Design and implement multi-agent orchestration frameworks for production environments Build and maintain ontologies and knowledge bases for domain-specific AI applications Lead technical initiatives from concept through production deployment Mentor junior engineers and contribute to technical best practices Collaborate with stakeholders across manufacturing, logistics, and engineering teams Drive innovation in AI agent capabilities and integration patterns Ensure scalability, reliability, and performance of AI systems in production Required Qualifications Experience: 4+ years in AI/ML development and deployment AI Agent Development: Proven track record of building AI agents with at least some production or near-production deployment experience Technical Expertise: Strong proficiency in Python and modern software engineering practices Deep understanding of LLM architectures, fine-tuning, and prompt engineering Hands-on experience designing orchestration systems for multi-agent workflows Working knowledge of ontology design and knowledge representation Experience with deployment practices and taking systems beyond local development Preferred Qualifications Microsoft AI Studio or Azure AI services experience Model Context Protocol (MCP) - familiarity or experimentation (this is a cutting-edge, production experience not expected) Domain Knowledge: Background in manufacturing, logistics, automotive, supply chain, or industrial IoT (strong plus but not required) Experience with real-time systems and edge computing Track record of leading technical projects or mentoring engineers Experience with CI/CD pipelines for AI/ML systems Publications, blog posts, or presentations on AI agent systems Active engagement with emerging AI technologies and frameworks Show less [{"type":"people_also_viewed","href":"https://www..com/jobs/view/ai-machine-learning-data-engineer-at-mosaic-north-america-4335680985","jobId":"4335680985","label":"AI/Machine Learning Data Engineer"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/sr-ai-ml-data-engineer-at-public-storage-4336717965","jobId":"4336717965","label":"Sr. AI/ML Data Engineer"},{"type":"people_a...
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making.…
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Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. Effectively mentor others.
Thank you Praveen praveen.s@themesoft.com Show less…
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Thank you Praveen praveen.s@themesoft.com Show less [{"type":"people_also_viewed","href":"https://www..com/jobs/view/ai-machine-learning-data-engineer-at-mosaic-north-america-4335680985","jobId":"4335680985","label":"AI/Machine Learning Data Engineer"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/sr-ai-ml-data-engineer-at-public-storage-4336717965","jobId":"4336717965","label":"Sr. AI/ML Data Engineer"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/data-scientist-%E2%80%93-computer-vision-engineer-at-largeton-group-4338326194","jobId":"4338326194","label":"Data scientist – Computer vision Engineer"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/ai-engineer-at-pricesenz-4370448473","jobId":"4370448473","label":"AI Engineer"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/ai-ml-engineer-at-yoh-a-day-zimmermann-company-4361299724","jobId":"4361299724","label":"AI/ML Engineer"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/machine-le...
Establish reference architectures using LLMs, RAG, embeddings, knowledge graphs. Salary Range-$95,000-$120,000 a year Show less…
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Establish reference architectures using LLMs, RAG, embeddings, knowledge graphs. Salary Range-$95,000-$120,000 a year Show less [{"type":"people_also_viewed","href":"https://www..com/jobs/view/application-developer-machine-learning-at-accroid-inc-4295415251","jobId":"4295415251","label":"Application Developer, Machine Learning"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/lead-ai-ml-engineer-at-robert-half-4367290507","jobId":"4367290507","label":"Lead AI / ML Engineer"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/data-scientist-at-merit-advisors-llc-4293197910","jobId":"4293197910","label":"Data Scientist"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/data-scientist-%E2%80%93-computer-vision-engineer-at-largeton-group-4338326194","jobId":"4338326194","label":"Data scientist – Computer vision Engineer"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/ai-ml-engineer-at-yoh-a-day-zimmermann-company-4361299724","jobId":"4361299724","label":"AI/ML Engineer"},{"type":"people_also_viewed","href":...
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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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