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About the Role
Join Optiver's Applied AI and Platform Engineering team as an experienced AI Engineer. You will design, build, and deploy production-grade AI systems to automate workflows, augment decision-making, and accelerate engineering across the firm. This role involves owning the full lifecycle of AI systems, from identifying opportunities and translating business problems into scalable AI solutions to deploying and improving them in production. You will combine strong software engineering with pragmatic AI expertise to build reliable AI products that deliver measurable business impact.
Responsibilities
- Design, build, and deploy production-grade AI systems and products 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.
- Translate ambiguous business challenges into scalable technical solutions, ensuring AI-assisted development produces reliable software.
- 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.
- Partner closely with trading, research, and business teams to understand user needs, challenge assumptions, and iterate on solutions.
- 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.
Requirements
- 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.
- 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.
- Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic environment.
Skills
- Python
- AI frameworks
- Model evaluation
- Prompt engineering
- Tool calling
- Context management
- Agent orchestration
- Software architecture
- Object-oriented design
- Design patterns
- Distributed systems
- Testing
- Scalable applications
- Resilient applications
- Quantitative metrics
- External tools integration
- API integration
- Model Context Protocol (MCP)
- AI application frameworks
- Communication
- Collaboration
- Problem-solving
Location
- Global
Work Type
- Full-time
Experience Level
- 6+ years of professional software engineering experience
Education Level
- Bachelor's degree in Computer Science, Artificial Intelligence, or a related technical field
Salary/Compensations
- $200,000—$200,000 USD
Benefits
- Performance-based bonus
- 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
About the Company
- 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.
Equal Opportunity
- 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.