AI Engineer

Experteer Overview In this role you will design, build, and operate production-grade AI systems that automate workflows and augment decision-making within Optiver’s Applied AI and Platform Engineering team. You will own end-to-end delivery, from identifying AS-BIs to deploying and continuously improving AI products that deliver measurable business impact. You’ll combine software engineering with pragmatic AI expertise to create reliable solutions at scale in a fast-paced trading environment. This is a hands-on, impact-driven opportunity to shape reusable platform capabilities for the firm. Compensation / Benefits * Design, build, and deploy production-grade AI systems and products (e.g., agent platforms, AI assistants, code review harnesses, evaluation frameworks, agentic research pipelines) * Evaluate foundation models, architectures, and AI workflows to balance capability, reliability, latency, security, cost, and business impact * Define success metrics and build evaluation, benchmarking, and observability frameworks for AI quality and production readiness * Translate ambiguous business challenges into scalable technical solutions meeting functional and business objectives * Design resilient, distributed AI systems focusing on scalability, state management, security, and operational reliability * Prototype and validate emerging models/tools against measurable success criteria before production * Collaborate with trading, research, and business teams to understand user needs and evolve use cases into platform capabilities * Deliver high-quality, maintainable software with automated testing and code reviews * Monitor and continuously improve production AI systems prioritizing quality, reliability, latency, and governance Tasks * 6+ years of professional software engineering experience, including production Python applications * Experience designing, deploying, and operating production LLM applications and practical knowledge of model evaluation, prompt engineering, tool calling, context management, and agent orchestration * Strong software engineering fundamentals (architecture, design patterns, distributed systems, testing) * Experience integrating AI systems with external tools, APIs, MCP, and modern AI application frameworks * Ability to determine when AI is appropriate versus traditional software or deterministic automation * Proven track record building reliable production systems with observability and operational excellence * Strong product mindset translating ambiguous problems into practical technical solutions with measurable outcomes * Excellent communication and collaboration skills with cross-functional teams * Strong problem-solving skills in a fast-paced environment Key requirements * competitive compensation with performance-based bonus * 401(k) match up to 50% * comprehensive health insurance (medical, dental, vision, mental health, disability, life) * 25 days of paid vacation plus market holidays * extensive office perks (breakfast, lunch, snacks, social events) * employee development and collaboration across global teams

157480 and observability frameworks for AI quality and production readiness * Translate ambiguous business challenges into scalable technical solutions meeting functional and business objectives * Design resilient, distributed AI systems focusing on scalability, state management, security, and operational reliability * Prototype and validate emerging models/tools against measurable success criteria before production * Collaborate with trading, research, and business teams to understand user needs and evolve use cases into platform capabilities * Deliver high-quality, maintainable software with automated testing and code reviews * Monitor and continuously improve production AI systems prioritizing quality, reliability, latency, and governance Tasks * 6+ years of professional software engineering experience, including production Python applications * Experience designing, deploying, and operating production LLM applications and practical knowledge of model evaluation, prompt engineering, tool calling, context management, and agent orchestration * Strong software engineering fundamentals (architecture, design patterns, distributed systems, testing) * Experience integrating AI systems with external tools, APIs, MCP, and modern AI application frameworks * Ability to determine when AI is appropriate versus traditional software or deterministic automation * Proven track record building reliable production systems with observability and operational excellence * Strong product mindset translating ambiguous problems into practical technical solutions with measurable outcomes * Excellent communication and collaboration skills with cross-functional teams * Strong problem-solving skills in a fast-paced environment Key requirements * competitive compensation with performance-based bonus * 401(k) match up to 50% * comprehensive health insurance (medical, dental, vision, mental health, disability, life) * 25 days of paid vacation plus market holidays * extensive office perks (breakfast, lunch, snacks, social events) * employee development and collaboration across global teams