Entry-Level Engineer at Rogo

New York, New York, United States

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Finance, FinTechIndustries

Requirements

Degree in Computer Science or a related field such as Math or Physics
Strong coding fundamentals, with an understanding of algorithms, data structures, and design patterns
Experience developing backend systems in Java, Typescript, Python, Rust or similar languages/frameworks (via projects, internships, or OSS)
Comfort working with Git, unit testing, CI/CD, and observability tools; detail-oriented with a bias toward action
Strong communication skills and a collaborative mindset; enjoy being part of a team
Bonus
Hands-on LLM/retrieval projects or meaningful OSS/internship experience
Experience with React and building highly polished UIs
Experience with Kubernetes, terraform, or cloud infrastructure
Experience with ETL or data processing pipelines at scale

Responsibilities

Shipping end-to-end, high impact features which will use LLMs to automate financial workflows
Designing clean and easily maintainable technical systems
Working closely with your mentor and peers across engineering and the company; contributing as a collaborative, low-ego teammate

Skills

Key technologies and capabilities for this role

JavaTypescriptPythonRustalgorithmsdata structuresdesign patternsGitunit testingCI/CDobservabilityLLMsreinforcement learning

Questions & Answers

Common questions about this position

Is this position remote or onsite?

The position is onsite.

What skills are required for this entry-level engineer role?

Required skills include a degree in Computer Science or related field, strong coding fundamentals with algorithms, data structures, and design patterns, experience developing backend systems in Java, Typescript, Python, Rust or similar, comfort with Git, unit testing, CI/CD, and observability tools, plus strong communication and collaborative mindset.

What is the company culture like at Rogo?

Rogo has a tightly knit, world-class engineering team with high talent density, emphasizing collaboration, low-ego teamwork, fast-paced environments, and a focus on ambitious, curious individuals who thrive on solving impossible problems in AI and finance.

What makes a strong candidate for this role?

Strong candidates are hard workers eager to learn, excited to shape AI in finance, thrive in fast-paced startup environments, are ambitious, curious owners who are autonomous, self-directed, collaborative, and have relevant technical experience from projects, internships, or OSS.

What is the salary or compensation for this position?

This information is not specified in the job description.

Rogo

Generative AI platform for financial institutions

About Rogo

Rogo provides a secure generative AI platform tailored for elite financial institutions, including investment banks, hedge funds, and asset management companies. The platform utilizes advanced large language models to search, analyze, and cite millions of documents, significantly reducing the time spent on manual research. This allows junior team members to focus on more valuable tasks while enabling executives to quickly access critical information. Rogo's business model centers on customizing its AI solutions to meet the specific needs of each client, ensuring that the platform understands the unique language and data of their operations. Revenue is generated through subscription fees and additional services like customization and support. The main goal of Rogo is to enhance productivity and decision-making in financial institutions, helping them save time, improve insights, and automate workflows.

New York City, New YorkHeadquarters

2021Year Founded

$29.2MTotal Funding

SERIES_ACompany Stage

Fintech, AI & Machine LearningIndustries

11-50Employees

Risks

Increased competition from established fintech companies like Palantir and Bloomberg.

Potential over-reliance on third-party data providers like Quartr.

Regulatory scrutiny on AI-driven financial platforms is intensifying.

Differentiation

Rogo offers a bespoke AI solution tailored to each financial institution's needs.

The platform integrates and analyzes data from both internal and external sources.

Rogo's AI can search, analyze, and cite millions of documents efficiently.

Upsides

Rogo raised $18.5M in Series A funding led by Khosla Ventures.

Partnership with Quartr enhances Rogo's analysis tools for investment bankers.

Rogo's AI automates workflows, saving time and improving decision-making.

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