Applied AI Engineer for Quants — London (Hybrid)

Openai; United States; On-site; USD 94,000 - 148,000; Full time

Benefits offered by this job

Health insurance

Job summary

the company is seeking an Applied AI Engineer focused on quantitative investment and trading. You will work with researchers and engineers to apply AI models and Codex to research workflows, building prototypes and evaluation harnesses for real-world production use.

You will guide decisions on model behavior, reliability, latency, and governance, ensuring measurable customer impact. You will collaborate with practitioners and senior leaders to translate deployment experiences into product

Qualifications

• Experience with quantitative research or development in investment contexts.
• Strong hands-on coding skills and ability to build evaluation tools.
• Experience deploying AI models in real-world production environments.

Responsibilities

• Write and debug code, build evaluation systems, and create production accelerators.
• Collaborate with researchers, engineers, and leaders to apply models in research workflows.
• Lead workshops to help quantitative researchers apply AI models and Codex effectively.
• Translate deployment experience into clear product and engineering requirements.
• Ensure reliability, latency, cost, safety, and governance in AI deployments.

Skills

Python

LLMs

Codex

Job description

the company is seeking an Applied AI Engineer focused on quantitative investment and trading. You will work with researchers and engineers to apply AI models and Codex to research workflows, building prototypes and evaluation harnesses for real-world production use.

You will guide decisions on model behavior, reliability, latency, and governance, ensuring measurable customer impact. You will collaborate with practitioners and senior leaders to translate deployment experiences into product