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WHO WE ARE Optiver is a global market maker founded in Amsterdam, with offices in London, Chicago, Austin, New York, Sydney, Shanghai, Hong Kong, Singapore, Taipei and Mumbai. Established in 1986, today we are a leading liquidity provider, with close to 2,000 employees in offices around the world, united in our commitment to improve the market through competitive pricing, execution and risk management. By providing liquidity on multiple exchanges across the world in various financial instruments we participate in the safeguarding of healthy and efficient markets. We provide liquidity to financial markets using our own capital, at our own risk, trading a wide range of products: listed derivatives, cash equities, ETFs, bonds and foreign currencies. Since its establishment in 2012, our Shanghai office is a rapidly growing participant in the Chinese markets, trading exchange-listed futures, options and equities in China mainland. Our vision is to become the trusted partner in the development of Chinese financial markets. With the culture of a start-up but the backing of a 35+ year-old trading firm, the Optiver Shanghai office is truly unique. Everyone who joins us will help shape the future of our company and its global impact. Get ready: we are only just beginning. Introduction: We are seeking a senior software engineer who has built real agentic systems, thinks deeply about how to evaluate agents and understands how to deliver reliable AI products. In this role, you’ll work within our AI Engineering team and contribute to the platform that helps traders, researchers and engineers build trusted AI applications. You’ll have opportunities to work across the full lifecycle from model inference, evaluation, deployment and observability of agents solving real business outcomes. Key Responsibilities: Architect, develop and operate our internal AI Engineering platform Design and implement evaluations for agents across a range of tasks, developing robust ways to measure quality, reliability, and business impact Work closely with internal partner teams building their own applications and workflows with AI Understand the model provider landscape and the strengths/weaknesses of different model families Collaborate within the global AI Engineering team to share perspectives from your local customers Produce high-quality, unit-tested code and uphold consistent style and documentation through code reviews and CI/CD practices Troubleshoot and debug AI systems to ensure optimal performance Qualifications: Bachelorʼs degree in Computer Science, AI, or related field Minimum of 4 years of professional software or ML engineering experience Strong problem-solving skills: ability to make progress on ambiguous problems, make pragmatic engineering decisions Solid software engineering fundamentals and a track record of building maintainable production systems Excellent knowledge of Python, common AI/ML libraries and integration with 3rd party services Some commercial or open source experience in developing AI agents with any of the well-known services Experience with LLM inference engines (sglang/vLLM/etc) a plus but not required Experience with model fine-tuning a plus but not required DIVERSITY STATEMENT Optiver is committed to diversity and inclusion . We encourage applications from candidates of all backgrounds, and welcome requests for reasonable adjustments during the process. PRIVACY DISCLAIMER Optiver 重视个人信息的保护。请您在提供个人信息给我们之前，认真阅读Optiver China Privacy Notice, 了解我们如何收集及处理您的个人信息。 Personal information protection is of utmost importance to Optiver. Before you provide any personal information to us, we strongly urge you to read our Privacy Policy to acknowledge how we collect and process your personal information.
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.
