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
You'll be redirected to Rational Dynamics's career page.
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