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Norges Bank Investment Management (NBIM) mission is to safeguard and build financial wealth for current and future generations in Norway. As the largest single owner of stocks in the world, managing approximately 19 trillion Norwegian kroner, we have a unique opportunity to drive innovation and efficiency in the financial sector. This means we are on a mission with a great purpose – which you can be a part of. Our Machine Learning and AI team is at the heart of this transformation, pioneering the adoption of cutting-edge AI solutions across the fund. From boosting operational efficiency to enhancing investment strategies, we leverage AI to redefine how we operate. Our mandate is ambitious: achieve 20% operational efficiency gains, enhance long-term returns, and strengthen risk management through AI innovation. Now, we are expanding our team and looking for an AI & ML Engineer who is eager to push technological boundaries and drive meaningful change. What you will do Design robust, maintainable, and scalable code architectures for AI solutions Develop efficient APIs and integrations for LLM services Work closely with business units to identify and develop AI use cases Guide and support colleagues in the effective use of AI tools Develop and implement production-grade LLM applications using Python Design and refine prompts and Model Context Protocol (MCPs) Build secure and scalable AI solutions on the AWS platform with technologies like Crew.AI and Vals.AI What you need Strong Python development skills with experience in: Building production-level applications API development and integration Code optimization and performance tuning Software design patterns and best practices Hands-on experience with modern AI/ML frameworks and LLM integration Practical experience with LLMs (such as Claude Sonnet) and prompt engineering Experience with AWS services Degree in Computer Science, Data Science, or a related field Curious and proactive, always exploring new advancements in AI and LLMs Who you are We are looking for a skilled developer with a passion for AI technology and a strong desire to stay at the cutting edge of advancements in LLMs and their applications. You have an analytical approach to problem-solving, write clean and maintainable code, and excel at collaborating with teams across the organization. You are curious, eager to learn, and thrive on exploring new opportunities to improve organizational efficiency through AI.
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.
