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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Optiver US LLC - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Frameworks, Automation of Tests, Code Review, Software Design Patterns, Distributed Systems, Software Maintenance, Software Engineering, Systems Integration, Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Fastapi, Low Latency, Automation Anywhere - **Published:** August 8, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/ai-engineer-10002-new-york-ny-usa-58853844 ## About the Role 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 ## Description 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 ## Related Videos - [The AI-Ready Stack: Rethinking the Engineering Org of the Future](https://www.wearedevelopers.com/videos/1706-the-ai-ready-stack-rethinking-the-engineering-org-of-the-future) - [Are Code Reviews Worth It? Insights from 16 Years of Review Data](https://www.wearedevelopers.com/videos/1135-are-code-reviews-worth-it-insights-from-16-years-of-review-data) - [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Build a CI/CD pipeline to automate code reviews and ensure code quality](https://www.wearedevelopers.com/videos/349-build-a-ci-cd-pipeline-to-automate-code-reviews-and-ensure-code-quality) - [Unleash the power of 5G in your code: transform your apps](https://www.wearedevelopers.com/videos/1567-unleash-the-power-of-5g-in-your-code-transform-your-apps) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)