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.
As a Senior AI Software Engineer, you will contribute to building highly responsive AI interfaces, integrating intelligent systems with frontend applications, and maintaining robust TypeScript architectures that ensure …
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As a Senior AI Software Engineer, you will contribute to building highly responsive AI interfaces, integrating intelligent systems with frontend applications, and maintaining robust TypeScript architectures that ensure seamless communication between UI and AI components. Develop client-side logic for AI-driven tool calling, elegantly visualizing AI processes such as "thinking" or "searching" to enhance transparency and user confidence.
for the legal profession by delivering transformational and globally-trusted solutions to law firms and corporate legal teams worldwide. Actual compensation is determined by factors including education, work experience,…
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for the legal profession by delivering transformational and globally-trusted solutions to law firms and corporate legal teams worldwide. Actual compensation is determined by factors including education, work experience, certifications, and other relevant qualifications.
The Person Strong technical and analytical skills in C++/Python AI development, solving performance and investigating scalability on multi-GPU, multi-node clusters. Key Responsibilities Enable, benchmark AI models on di…
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The Person Strong technical and analytical skills in C++/Python AI development, solving performance and investigating scalability on multi-GPU, multi-node clusters. Key Responsibilities Enable, benchmark AI models on distributed systems Work in a distributed computing setting to optimize for both scale-up (multi-GPU) / scale-out (multi-node) / scale-across systems Collaborate and interact with internal GPU library teams to analyze and optimize distributed workloads for high throughput/low latency Expertise on parallelization strategies for AI workloads - and application for best performance for each configuration Contribute to distributed model management, model zoos, monitoring, benchmarking and documentation Preferred Experience Knowledge of GPU computing (HIP, CUDA, OpenCL) AI framework engineering experience (vLLM, SGLang, Llama.cpp) Understanding of KV cache transfer mechanisms, options (Mooncake, NIXL/RIXL) and Expert Parallelization (DeepEP/MORI/PPLX-Garden) Excellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design.
Overview Microsoft Azure AI Inference platform is the next generation cloud business positioned to address the growing AI market. Embody Microsoft's Culture and Values.
You Have: 4+ years of experience building production-grade applications using languages, including Python, Rust, Go, Scala, or Java 2+ years of experience building or maintaining production-grade RESTful APIs or softwar…
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You Have: 4+ years of experience building production-grade applications using languages, including Python, Rust, Go, Scala, or Java 2+ years of experience building or maintaining production-grade RESTful APIs or software interfaces 1+ years of experience designing, configuring, and implementing software systems in production environments Experience with CI/CD tools, including GitLab CI or Jenkins, and source control systems, including Git Experience with Linux systems, networking, and containerization, including Docker or Podman Knowledge of federal cybersecurity best practices and standards, secure coding, and compliance requirements Ability to obtain a Secret clearance Bachelor�s degree in a CS or Engineering field and 4+ years of experience with software engineering, or 9+ years of experience with software engineering in lieu of a degree Nice If You Have: Experience with AWS services and emulation environments, including LocalStack Experience with secure on-prem deployments leveraging hypervisors, including ESXi Experience with Ansible for configuration management and infrastructure automation Experience working with Agentic AI solutions Experience integrating with SIEMs, firewalls, or endpoint protection systems Knowledge of orchestration tools such as Kubernetes, including on-prem or air-gapped TS/SCI clearance Security+, Linux+, or DevOps related Certification Clearance: Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
You�ll build, iterate, and deploy AI-driven systems that help real businesses run smarter and faster. Design, develop, and deploy autonomous AI agents for complex supply chain workflows.
AI Developer Job Responsibilities Include Design and develop AI solutions using Python, C#, and Azure AI Services, with a focus on performance optimization and scalability. Hands-on experience with Python, C#, and Azure…
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AI Developer Job Responsibilities Include Design and develop AI solutions using Python, C#, and Azure AI Services, with a focus on performance optimization and scalability. Hands-on experience with Python, C#, and Azure AI Services, including orchestration of LLMs and Semantic Kernel.
Collaborate with product, engineering, security, privacy, and AI teams to drive adoption of agentic security patterns and best practices across Copilot and MAI. 6+ years hands-on experience designing and operating secur…
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Collaborate with product, engineering, security, privacy, and AI teams to drive adoption of agentic security patterns and best practices across Copilot and MAI. 6+ years hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses.
Qualifications Required/minimum qualifications Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C+…
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Qualifications Required/minimum qualifications Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Additional Or Preferred Qualifications Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Editorial process
How we curate roles
Every listing is sourced from employer feeds and hand-reviewed for clarity, compensation, location accuracy, and spam signals before it is surfaced in search.
Titles and locations get normalized so filters stay reliable.
Suspicious redirects or missing companies are flagged and removed.
We rotate fresh roles daily so the feed stays under 7 days old.
Salary insights
Transparency promise
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.
Currency harmonized to USD/EUR/GBP/CHF to avoid surprises.
Outliers are reviewed manually before they appear on a card.
Sponsored employers follow the same disclosure and pay rules.
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.
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