Quick Summary
Description We’re looking for an independent, curious AI researcher to join Datarails and help bring generative AI into high-precision financial workflows.
Own end-to-end projects: define the problem, prototype, evaluate, and deliver PoC/MVPs. Research and build GenAI solutions, flows, and agents that reduce nondeterminism and produce numerically reliable outputs for financial use cases.
Strong foundation in data science / ML and comfortable writing production-quality code. Proven experience delivering ML/AI projects from research to production independently.
We’re looking for an independent, curious AI researcher to join Datarails and help bring generative AI into high-precision financial workflows. You’ll turn research ideas into robust, production-grade features that meet finance’s strict correctness and auditability requirements.
Datarails is a SaaS B2B solution solving one of the biggest challenges in finance: transforming scattered Excel-based processes into streamlined, cloud-based systems. We help finance professionals gain control, clarity, and insight over their data - from reports to forecasts to deep analytics.
Responsibilities
~1 min read
- →Own end-to-end projects: define the problem, prototype, evaluate, and deliver PoC/MVPs.
- →Research and build GenAI solutions, flows, and agents that reduce nondeterminism and produce numerically reliable outputs for financial use cases.
- →Design practical verification, monitoring, and fallback strategies so GenAI can be trusted in critical workflows.
- →Collaborate with engineering and product teams to ship and maintain production solutions.
Requirements
~1 min read
- Strong foundation in data science / ML and comfortable writing production-quality code.
- Proven experience delivering ML/AI projects from research to production independently.
- Pragmatic problem solver with solid engineering practices (testing, code reviews, reproducibility).
- Eager to learn, conduct research, and stay at the cutting edge of GenAI.
- Excellent communicator and collaborator.
Nice to Have
~1 min read- Experience in finance or numerical systems, or familiarity with LLM/GenAI workflows.
- Advanced degree, publications, or open-source contributions.
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- March 5, 2026
- First seen
- March 26, 2026
- Last seen
- May 8, 2026
Posting Health
- Days active
- 42
- Repost count
- 0
- Trust Level
- 23%
- Scored at
- May 8, 2026
Signal breakdown
Please let Datarails know you found this job on Jobera.
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