Optiver, a leading market-making firm, seeks an experienced AI Engineer to design, build, and deploy production-grade AI systems within the Applied AI and Platform Engineering team in New York. The role spans the full lifecycle from opportunity identification to deployment and continuous improvement, working closely with trading, research, and business teams to turn ambitious AI ideas into reliable software.
Details
- Location: New York, NY (onsite)
- Salary: USD 200,000 per year
- Minimum experience: 6 years
- Education: Bachelor's degree in Computer Science, Artificial Intelligence, or a related technical field
Responsibilities
- 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.
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 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
Technologies
- Python
- Model Context Protocol (MCP)
Benefits
- 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 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.
