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.
Job Description Job Description AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI). AI Singapore (AISG)…
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Job Description Job Description AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI). AI Singapore (AISG) in partnership with the SAF AI Centre (SAIC), is seeking an experienced AI engineer to provide mentorship and consultancy to SAIC engineering teams, support real-world project selection for skills deepening, and enable professional certification readiness.
[Applicants: Be among the first 25 applicants | Industry: Accounting, IT Services and IT Consulting, and Business Consulting and Services | Type: Full-time | Level: Not Applicable] Our Deloitte Strategy & Transactions…
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[Applicants: Be among the first 25 applicants | Industry: Accounting, IT Services and IT Consulting, and Business Consulting and Services | Type: Full-time | Level: Not Applicable] Our Deloitte Strategy & Transactions team helps guide clients throug
[Industry: Accounting, IT Services and IT Consulting, and Business Consulting and Services | Type: Full-time | Level: Not Applicable] Our Deloitte Strategy & Transactions team helps guide clients through their most…
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[Industry: Accounting, IT Services and IT Consulting, and Business Consulting and Services | Type: Full-time | Level: Not Applicable] Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformatio
[Applicants: Be among the first 25 applicants | Industry: Accounting, IT Services and IT Consulting, and Business Consulting and Services | Type: Full-time | Level: Not Applicable] Our Deloitte Strategy & Transactions…
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[Applicants: Be among the first 25 applicants | Industry: Accounting, IT Services and IT Consulting, and Business Consulting and Services | Type: Full-time | Level: Not Applicable] Our Deloitte Strategy & Transactions team helps guide clients throug
Role Overview We are seeking a Senior AI Engineer / AI Lead to design, train, and scale the core intelligence behind our AI systems. Key Responsibilities Design and implement end-to-end AI and LLM-based systems Work…
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Role Overview We are seeking a Senior AI Engineer / AI Lead to design, train, and scale the core intelligence behind our AI systems. Key Responsibilities Design and implement end-to-end AI and LLM-based systems Work extensively with Large Language Models (LLMs) Build and maintain advanced Prompt Engineering frameworks Design and manage Knowledge Bases for AI (company content, documents, data) Fine-tune and train AI models using internal organizational data Implement RAG architectures using Vector Databases Integrate and orchestrate multiple AI APIs (OpenAI, Anthropic, Gemini, Azure AI, etc.) Convert AI outputs into usable tools for sales, marketing, content, and analytics teams Design AI infrastructure ready for SaaS and client-facing products Collaborate closely with Full Stack Developers and business stakeholders Requirements Skills & Experience Extensive experience with LLMs and AI system architecture Strong expertise in Prompt Engineering and AI knowledge design Hands-on experience with AI model fine-tuning and training Strong understanding of RAG, embeddings, and vector databases Experience working with AI APIs and multi-model orchestration Proficiency in Python Experience with LangChain / LlamaIndex Strong system design and product-oriented thinking Strong Advantage Experience building AI dashboards or AI products MLOps and deployment experience SaaS architecture background Job Type Full-time / Part-time Remote Long-term collaboration Benefits Competitive, market-aligned salary and incentives Fully remote work Latest tech stack & ownership of end-to-end features Opportunity to build scalable products with real business impact Professional growth in a fast-moving, scale-up environment Collaborative culture with a focu...
Translate AI research and PoCs into production-ready features, delivering robust and scalable AI components that integrate seamlessly with larger systems. Experience in architecting and developing solutions that…
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Translate AI research and PoCs into production-ready features, delivering robust and scalable AI components that integrate seamlessly with larger systems. Experience in architecting and developing solutions that integrate generative AI with traditional software solutions with minimal to no oversight.
Senior AI Engineer – LLM Frameworks, Vector Databases & Automation Location:Chennai Experience:5+ years overall, 3+ years in AI / LLM-driven systems Job Summary: We are seeking a Senior AI Engineer to design, build, and…
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Senior AI Engineer – LLM Frameworks, Vector Databases & Automation Location:Chennai Experience:5+ years overall, 3+ years in AI / LLM-driven systems Job Summary: We are seeking a Senior AI Engineer to design, build, and scale LLM-powered applications using modern orchestration frameworks, vector databases, and automation platforms. Key Responsibilities: Design and develop LLM-powered systems using frameworks such as LangChain, AutoGen, and ReAct-style orchestration Build and optimize agent-based workflows for multi-step reasoning, tool use, and decision-making Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases Integrate and manage vector databases such as Pinecone, Weaviate, and Qdrant Develop and maintain AI-driven automations using platforms like n8n, Zapier, and Make.com Connect LLMs with APIs, databases, SaaS tools, and internal systems Optimize prompts, embeddings, latency, and cost across LLM workflows Ensure reliability, scalability, observability, and security of AI systems Collaborate with product, engineering, and business teams to deliver AI-first solutions Mentor junior engineers and contribute to AI architecture decisions Required Skills & Qualifications: LLM & AI Frameworks Strong hands-on experience with LangChain Experience with AutoGen and multi-agent systems Familiarity with ReAct-style orchestration and tool-augmented reasoning Experience working with OpenAI, Anthropic, or similar LLM providers Vector Databases Hands-on experience with Pinecone, Weaviate, or Qdrant Strong understanding of embeddings, similarity search, and indexing strategies Experience designing and tuning RAG pipelines Automation & Integration Experience building workflows using n8n, Zapier, and/or Make.com Ability to automate business processes using AI agents Experience integrating LLMs with CRMs, ERPs, ticketing tools, and SaaS APIs Programming & Backend Strong proficiency in Python (primary) or TypeScript Experience building APIs and backend services Familiarity with cloud environments (AWS, GCP, or Azure) Good to Have (Nice to Have): Experience with function calling, tools, and agents Knowledge of prompt engineering and evaluation frameworks Experience with fine-tuning or adapters (LoRA) Familiarity with monitoring, logging, and observability for AI systems Exposure to LLMOps / MLOps tools...
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...
Desired Skill-set Experience with Responsible AI frameworks, fairness/bias assessment, and model explainability tools; Exposure to graph databases; Exposure to feature stores, model registries, and data/version…
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Desired Skill-set Experience with Responsible AI frameworks, fairness/bias assessment, and model explainability tools; Exposure to graph databases; Exposure to feature stores, model registries, and data/version management tools; Understanding of data privacy, anonymization, and compliance requirements in regulated industries. Responsibilities Collaborate with business stakeholders to understand use cases, define AI solution approaches, and build Proofs of Concept (PoCs) when required; Engineer, deploy, and maintain machine learning models in production using best-in-class MLOps practices (model versioning, CI/CD, observability, monitoring and others; Build and maintain scalable, maintainable data pipelines and monitor model performance across environments; Ensure all AI solutions comply with organizational AI policies, responsible AI guidelines, and audit/regulatory requirements; Support data exploration, feature engineering, and hands-on model development when necessary.
We are driven by SaaS operational experience with complementary expertise to support startups & help them build their product to find best product market fit. To know more about us visit www.york.ie Job Description -…
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We are driven by SaaS operational experience with complementary expertise to support startups & help them build their product to find best product market fit. To know more about us visit www.york.ie Job Description - Key Responsibilities Architect and build production-grade agentic AI systems and intelligent automation tools Design and implement AI/ML pipelines using Azure AI services, with emphasis on semantic search, embeddings, and generative AI capabilities Develop and maintain integrations using Semantic Kernel, building robust orchestration layers for AI agents Collaborate with product and engineering teams to identify high-impact AI opportunities and translate them into technical solutions Establish best practices for AI development, testing, and deployment within the engineering organisation Stay current with rapidly evolving AI/ML landscape and evaluate emerging tools and frameworks Requirements Extensive experience as a .NET software engineer with deep expertise in C# Strong background in AI/ML, ideally with formal education or equivalent practical experience Proven experience building and deploying agentic AI tools in production environments Comprehensive knowledge of the Azure ecosystem, particularly Azure AI Services, Azure OpenAI, Azure AI Search, and Azure Machine Learning Hands-on experience with Semantic Kernel Excellent problem-solving skills and ability to work autonomously on complex technical challenges Highly Desirable Experience with Microsoft AI Foundry, AutoGen, or Agent Framework Familiarity with Azure Fabric for data engineering and analytics workloads Background in RAG architectures and vector database implementations Contributions to AI/ML open-source projects or published research Show less [{"type":"people_also_viewed","href":"https://in..com/jobs/view/ai-ml-engineer-at-accenture-in-india-4355695606","jobId":"4355695606","label":"AI / ML Engineer"},{"type":"people_also_viewed","href":"https://in..com/jobs/view/senior-ai-cloud-engineer-at-oracle-4356576665","jobId":"4356576665","label":"Senior AI/Cloud Engineer"},{"type":"people_also_viewed","href":"https://in..com/jobs/view/interesting-job-opportunity-ai-ml-engineer-ecommerce-platform-at-igauri-solutions-pvt-ltd-4342557047","jobId":"4342557047","label":"Interesting Job Opportunity: AI...
Responsibilities AI & Machine Learning Frameworks Experience working withlarge-scale AI models (e.g., LLMs, generative AI, reinforcement learning). Qualifications At least 1 year of relevant experience (*Note: This is a…
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Responsibilities AI & Machine Learning Frameworks Experience working withlarge-scale AI models (e.g., LLMs, generative AI, reinforcement learning). Qualifications At least 1 year of relevant experience (*Note: This is a requirement for one of Scoutit's clients) Skills: data,analytics,artificial intelligence,ml Show less [{"type":"people_also_viewed","href":"https://in..com/jobs/view/ai-ml-software-engineer-at-ebay-4265461193","jobId":"4265461193","label":"AI/ML Software Engineer"},{"type":"people_also_viewed","href":"https://in..com/jobs/view/artificial-intelligence-engineer-at-ab-inbev-gcc-india-4351826732","jobId":"4351826732","label":"Artificial Intelligence Engineer"},{"type":"people_also_viewed","href":"https://in..com/jobs/view/data-scientist-at-ab-inbev-gcc-india-4368967888","jobId":"4368967888","label":"Data Scientist"},{"type":"people_also_viewed","href":"https://in..com/jobs/view/data-scientist-at-ab-inbev-gcc-india-4368976992","jobId":"4368976992","label":"Data Scientist"},{"type":"people_also_viewed","href":"https://in..com/jobs/view/data-scientist-at-perfios-4368022127","jobId":"4368022127","label":"Data Scientist"},{"type":"people_also_viewed","href":"https://in..com/jobs/view/ai-ml-engineer-at-recro-4360888300","jobId":"4360888300","label":"AI/ML Engineer"},{"type":"people_also_viewed","href":"https://in..com/jobs/view/artificial-intelligence-engineer-at-bsh-home-appliances-group-4365471202","jobId":"4365471202","label":"Artificial Intelligence Engineer"},{"type":"people_also_viewed","href":"https://in..com/jobs/view/data-scientist-at-exl-4362380490","jobId":"4362380490...
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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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