We're looking for an experienced AI Engineer to join Optiver's Applied AI and Platform Engineering team. In this role, you'll design, build, and deploy production-grade AI systems that automate workflows, augment decision-making, and accelerate engineering across the firm. You'll own the full lifecycle—from identifying opportunities and translating ambiguous business problems into scalable AI solutions to deploying, operating, and continuously improving systems in production. You'll combine strong software engineering with pragmatic AI expertise to build reliable AI products that deliver measurable business impact.
What you'll do
As an AI Engineer, you will:
- Design, build, and deploy production-grade AI systems and products—including agent platforms, AI assistants, code review harnesses, evaluation frameworks, and agentic research pipelines—using Python and modern AI frameworks integrated with internal systems, data platforms, and third-party AI services.
- Evaluate foundation models, agent architectures, and AI workflows, making pragmatic technology decisions based on capability, reliability, latency, security, cost, and business impact.
- Define success metrics and build robust evaluation frameworks, benchmarking tools, and observability capabilities to measure AI quality, safety, performance, and production readiness while enabling continuous improvement.
- Translate ambiguous business challenges into scalable technical solutions, ensuring AI-assisted development produces reliable software that meets both functional requirements and business objectives.
- Design resilient, distributed AI systems with a focus on scalability, state management, authentication, fault tolerance, security, and operational reliability.
- Rapidly prototype and experiment with emerging models, tools, and workflows, validating new capabilities against measurable success criteria before investing in production.
- Partner closely with trading, research, and business teams to understand user needs, challenge assumptions, rapidly iterate on solutions, and evolve successful use cases into reusable platform capabilities.
- Deliver high-quality, maintainable software through sound software engineering practices, automated testing, and thoughtful code reviews.
- Operate, monitor, and continuously improve production AI systems by optimizing quality, reliability, latency, cost efficiency, governance, and user outcomes.
What you'll get
You'll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by continuous improvement, you'll thrive in a supportive, high-performing environment while tackling some of the toughest technical challenges in the financial markets.
In addition, you'll receive:
- The opportunity to work alongside world-class engineers and researchers from more than 40 countries
- A highly competitive compensation package, including a performance-based bonus
- A 401(k) match of up to 50%
- Comprehensive medical, dental, vision, mental health, disability, and life insurance
- 25 days of paid vacation, plus market holidays
- Extensive office perks, including breakfast, lunch, snacks, social events, clubs, sports leagues, and more
Who you are
- Bachelor's degree in Computer Science, Artificial Intelligence, or a related technical field
- 6+ years of professional software engineering experience, including extensive production experience developing applications in Python
- Strong software engineering fundamentals, including software architecture, object-oriented design, design patterns, distributed systems, testing, and building scalable, resilient applications
- Experience designing, deploying, and operating production LLM applications, with practical knowledge of model evaluation, prompt engineering, tool calling, context management, agent orchestration, and common failure modes
- Experience defining evaluation frameworks and using quantitative metrics to guide model selection, prompt iteration, and production readiness
- Experience integrating AI systems with external tools, APIs, Model Context Protocol (MCP), and modern AI application frameworks
- Strong engineering judgment, with the ability to determine when AI is the right solution—and when traditional software or deterministic automation is more appropriate
- Experience building highly reliable production systems where correctness, resiliency, observability, and operational excellence are essential
- Strong product mindset, with the ability to translate ambiguous business problems into practical technical solutions that deliver measurable business outcomes
- Excellent communication and collaboration skills, with experience partnering directly with cross-functional teams and end users to refine requirements, challenge assumptions, and deliver scalable solutions
- Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic environment
Who we are
At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilizing the market no matter the conditions. With a focus on continuous improvement, we prioritize safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.
Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.
Below is the expected base salary for this position. This is a good-faith estimate of the base pay scale for this position and offers will ultimately be determined based on experience, education, skill set, and performance in the interview process. This position will also be eligible for a discretionary bonus (if determined by Optiver) and Optiver’s benefits package with the benefits listed above.
Skills Required
- Bachelor's degree in Computer Science, Artificial Intelligence, or related technical field
- 6+ years of professional software engineering experience, including extensive production experience developing applications in Python
- Strong software engineering fundamentals: architecture, object-oriented design, design patterns, distributed systems, testing, scalable resilient applications
- Experience designing, deploying, and operating production LLM applications including model evaluation, prompt engineering, tool calling, context management, and agent orchestration
- Experience defining evaluation frameworks and using quantitative metrics for model selection and production readiness
- Experience integrating AI systems with external tools, APIs, Model Context Protocol (MCP), and modern AI application frameworks
- Experience building highly reliable production systems with correctness, resiliency, observability, and operational excellence
- Strong engineering judgment to determine appropriate technical solutions versus traditional software approaches
- Strong product mindset and ability to translate ambiguous business problems into practical technical solutions
- Excellent communication and collaboration skills; experience partnering with cross-functional teams and end users
Optiver Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Optiver and has not been reviewed or approved by Optiver.
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Career-Linked Recognition & Rewards — Pay is considered highly competitive in trading, quantitative, and engineering paths, with performance-linked bonuses materially elevating total earnings for strong contributors. High performers are described as seeing outsized upside when firm and team results are strong.
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Healthcare Strength — Health coverage is depicted as comprehensive, including medical, dental, vision, disability and life insurance, alongside HSA/FSA options and mental-health support. Some locations note unlimited therapy access through a partner platform.
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Leave & Time Off Breadth — U.S. roles are often described as offering 25 days of paid vacation plus market holidays, alongside generous parental leave. This breadth of time off is highlighted as helping to offset a high-intensity environment.
Optiver Insights
What We Do
Optiver’s story began over 30 years ago, when we started business as a single trader on the floor of Amsterdam’s options exchange. Today, we are at the forefront of trading and technology as a leading global electronic market maker, focused on pricing, execution and risk management.
Why Work With Us
People at Optiver love challenges, welcome collaboration, and strive to be better tomorrow than they are today. Improving the market is an extraordinary challenge that requires a carefully crafted approach. Optiver provides a collaborative working environment to tackle these challenges. In fact, it is this way of working that sets us apart.
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