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.
[Applicants: Be among the first 25 applicants | Industry: Software Development | Type: Full-time | Level: Mid-Senior level] A bit about us...𝖲𝗉𝖾𝖼𝗍𝗋𝖺 𝖲𝗈𝖿𝗍𝗐𝖺𝗋𝖾 𝖦𝗋𝗈𝗎𝗉 𝖽𝖾𝗏𝖾𝗅𝗈𝗉𝗌 𝖺𝗇 𝖺𝖽𝗏𝖺𝗇𝖼𝖾𝖽 𝖠𝖨 𝖾𝗇𝗀𝗂𝗇𝖾 𝖽𝖾𝗌𝗂
Indigeco is supporting a major federal Government organisation to recruit a Senior AI Engineer (EL1 equivalent) to join a central Data Science team delivering cutting-edge AI and machine learning solutions. YOUR…
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Indigeco is supporting a major federal Government organisation to recruit a Senior AI Engineer (EL1 equivalent) to join a central Data Science team delivering cutting-edge AI and machine learning solutions. YOUR RESPONSIBILITIES Lead the design, development and deployment of AI and data science engineering solutions Architect and manage secure, scalable cloud infrastructure (Azure, AWS or Google Cloud) using Infrastructure as Code Deliver AI projects involving NLP, generative AI, predictive modelling and self-service analytics products Prototype engineering solutions rapidly for high-priority AI initiatives Establish standards, procedures and internal capability across the AI development lifecycle Collaborate with stakeholders, IT providers and end-users to deliver customer-centred solutions Support data ingestion, curation, ETL pipelines and analytics workflows Translate complex technical concepts into clear advice for non-technical audiences YOUR REQUIREMENTS Baseline security clearance (mandatory) Strong experience leading AI, data and cloud engineering work in government or complex environments Proven ability to design, build, test and deploy AI solutions end-to-end Experience working with relational databases and large-scale data platforms Strong knowledge of CI/CD, containerisation, orchestration and DevOps practices Experience with Azure, AWS or Google Cloud environments Well-developed communication skills and stakeholder engagement capability Ability to write and present advice clearly in plain English Desirable experience includes: Generative AI engineering, agent-based solutions and prompt evaluation Deploying and integrating open-weight LLMs via API endpoints Understanding of AI ethics, bias, risk and output evaluation Experience with Python AI libraries such as Hugging Face, PyTorch and llama-cpp Experience with Powe...
You will bridge the gap between AI experimentation and robust, production-ready agentic systems, ensuring scalability, reliability, security, and business impact. Key Responsibilities Design, build, and deploy…
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You will bridge the gap between AI experimentation and robust, production-ready agentic systems, ensuring scalability, reliability, security, and business impact. Key Responsibilities Design, build, and deploy production‑grade AI and agentic systems that automate complex business workflows and deliver measurable outcomes Develop and integrate LLM‑powered applications and multi‑agent architectures, ensuring scalability, reliability, and controlled autonomy Deploy AI solutions on cloud platforms (Azure and/or GCP) using secure, scalable, and cost‑efficient infrastructure Implement best practices for software engineering, CI/CD, and system reliability, including testing, monitoring, and observability Ensure AI system safety, evaluation, and performance, incorporating guardrails, monitoring, and feedback loops Collaborate with cross‑functional teams to translate business requirements into robust technical solutions Contribute to technical leadership, including architecture decisions, documentation, code reviews, and mentoring Required Qualifications 3+ years of software engineering or AI development experience Proven experience building and deploying enterprise-grade agentic or multi-agent systems Strong Python expertise, including async programming and performance optimization Production experience with modern AI agent frameworks and tool/API orchestration Hands-on cloud deployment experience on Azure and/or GCP, including containerization and CI/CD Preferred Qualifications Azure or Google Cloud certifications (preferred) Relevant AI/ML or ag...
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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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