Research Engineer

We’re building Al thought partners to make people smarter and more creative, accelerating the creation and sharing of knowledge in financial services. We’re unabashedly ambitious, and we’re dead set on building the biggest Financial AI company in the world. Our team is lean, smart, and enormously ambitious. We’re growing fast out of our beautiful office in NYC.

WHY JOIN ROGO?

• Exceptional traction: strong PMF with the world’s largest investment banks, hedge funds, and private equity firms.

• World-class team: we take talent density seriously. We like working with incredibly smart, driven people.

• Velocity: we work fast, which means you learn a lot and constantly take on new challenges.

• Frontier technology: we’re developing cutting-edge AI systems, pushing the boundaries of published research, redefining what’s possible, and inventing the future.

• Cutting Edge Product: Our platform is state-of-the-art and crazily powerful. We’re creating tools that make people smarter, reinventing how you discover, create, and share knowledge.

About the role

As a research engineer for financial search at Rogo, you will enhance and evolve our extensive search and retrieval systems, with a special focus on our search on financial data and documents. In this capacity, you’ll:

• Build the infrastructure for high-performance, low-latency search and retrieval systems, tackling challenging constraints such as latency and costly model inference.

• Generate, index, and manage vast collections of financial datasets containing many millions of documents, including public data like SEC filings, earnings transcripts, financial news, market data, etc, as well as private financial files like data rooms.

• Research and implement cutting-edge search and retrieval methods that integrate classic search techniques, embeddings, and LLMs.

A typical day could involve:

• Reading research papers on RAG, LLM fine-tuning, and other cutting-edge search topics.

• Discussing AI strategies and workflows with top executives to grasp their needs.

• Fine-tuning our search infrastructure for our general product and for specific client needs.

• Designing and implementing end-to-end automations to save our users hours a day.

It’s cutting-edge engineering at the AI frontier.

Qualifications

Hard Requirements:

• 3+ years of industry experience as a developer

• 2+ industry experience in financial services (on the buy-side or sell-side)

• Proficiency in leveraging LLMs in a production context, with specialization in Retrieval Augmented Generation (RAG) and advanced Prompt Engineering techniques

• Highly proficient with Python and SQL, and an intuitive understanding of multi-threading, multi-processing, asyncio, and other concurrency primitives

• Experience with at least one of: Postgres, Snowflake or Elasticsearch

• Experience deploying and monitoring mission-critical ETL pipelines with large and heterogenous datasources

• Practical experience with containerization technologies, including Docker and Kubernetes

• Solid understanding of networking, security principles, and best practices

• Experience with AWS or other cloud environment

Bonus Requirements:

• Experience with a strongly typed language (e.g., Rust)

• Experience working with Apache Airflow

• Experience at a hypergrowth startup

• Product experience working directly with users

• Experience with stream processing

• Knowledge of Datadog and other Telemetry tooling

WHO YOU ARE

• You thrive in fast-paced environments. You are high-intensity and care a lot about what you do, and you’re ecstatic to work at a start-up

• You are ambitious. You have fun solving problems that others think are impossible.

• You are curious. You find joy in learning about AI, technology, and finance

• You are an owner. You are autonomous, self-directed, and comfortable working with ambiguity

• You are collaborative, organized, and thoughtful.