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Senior AI/ML Engineer - Greenfield project! Fully new established team of top-tier AI experts Multi-year program Daily rate up to €600 A leading global insurance organisation is building a brand-new team to develop AI-native insurance and agentic AI systems from the ground up, with a mission to transform the industry. This is an exciting opportunity for a Senior AI/ML Engineer ready to own the design of intelligent agents, and build end-to-end AI solutions that deliver real-world impact at scale using latest technology like LangChain, LangGraph, RAG Tooling and Python. You will join a world-class team of top-tier experts in a start-up environment, with the autonomy to shape the project from day one. Why You’ll Love It Here: Join an elite AI team in creating a new, meaningful output that shows direct impact on the success of a global reaching company Take ideas from concept to production, owning the architecture, development, evaluation and deployment of AI solutions from day one Lead AI platforms and technologies, including Agentic AI Work on a genuinely greenfield initiative designed to explore how AI agents can transform the insurance industry and create entirely new ways of working You Will: Create AI agents with the programming background of implementing the needed logic Build and maintain RAG pipelines and integrations across a range of data sources and services Design evaluation metrics and evaluation loops for LLM agents Skills / Experience: 3+ years in data science, software engineering, or AI engineering 2+ years of direct LLM development experience Strong Python experience For more information, contact nadja.voglar@archer.ie For additional opportunities, visit the Archer Recruitment website
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.