AI Engineer
AI summary of the role
Optiver's Applied AI and Platform Engineering team seeks an experienced AI Engineer to design, build, and deploy production-grade AI systems—agent platforms, AI assistants, evaluation frameworks—that automate workflows and accelerate engineering across the firm.
What you’ll do
- Design, build, and deploy production-grade AI systems including agent platforms, AI assistants, code review harnesses, evaluation frameworks, and agentic research pipelines.
- 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.
What you’ll bring
- 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.
- 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.
Technologies
Python · LLM · agent orchestration · Model Context Protocol (MCP) · AI frameworks · evaluation frameworks · observability · distributed systems
About Optiver
Global market maker providing liquidity across 50+ exchanges in derivatives, equities, bonds, and FX; competing on pricing, execution speed, and risk management.
Private Late · 2000–5000 people
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