Rational Dynamics Seed

Forward Deployed Engineer

New York, NY On-site $200K–$250K Added Jun 19

About the role

THE COMPANY Rational Dynamics builds customized AI reasoning systems for tasks of high cognitive complexity. Our initial market is the world’s leading institutional asset owners. We work very closely with these customers to create specialized, rigorous benchmark datasets encompassing their most valuable and difficult knowledge work. Then we use the benchmarks to construct agentic large reasoning models, applying the same rigor to prove that the models correctly do the work. Customers access the models through a tailored application service, making their most skilled, expensive workers dramatically more productive. We are an early-stage startup. Our founders previously started Voleon, now one of the world’s largest systematic investment managers, and recognized as a longstanding industry leader in applied machine learning. They bring to Rational Dynamics the same research discipline and data-driven focus that succeeded in the unforgiving, high-stakes setting of financial markets. JOB OPPORTUNITIES We are looking for entrepreneurial researchers and engineers who want to work on cutting-edge agentic AI methods and build out a best-in-class core technical infrastructure. Our work environment is highly collaborative. Your colleagues will be accomplished experts in AI/ML, statistics, and systems engineering. JOB DESCRIPTION As a Forward Deployed Engineer, you'll build complete systems that solve real problems for institutional investors. You'll sit with customers to understand their workflows, then implement agentic AI systems that integrate with their proprietary data. This means building data pipelines, designing evaluation frameworks, and iterating on what's working in production. You'll operate like a founder: take ownership, move fast, and figure it out. Whether that's jumping on a client call to understand risk workflows or writing an integration to connect data sources, you make it happen.

Industry

AI / Quantitative Finance

Top skills for this role

  • Agentic AI system deployment
  • institutional finance domain knowledge
  • customer technical collaboration

Languages

Python (inferred from company's ML focusTypeScript possible)

Frameworks & tools

LLM orchestration frameworksagentic AI systemsbenchmark dataset tooling

AI / ML skills

Agentic AI systemslarge reasoning modelsbenchmark dataset constructionLLM deploymentproduction ML

Customer skills

customer collaboration, translating business objectives to technical requirements, communicating with institutional investors

Domain knowledge

institutional asset management, finance, high-cognitive-complexity knowledge work

Travel: not specified
Equity: not specified

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