Why Rogo?

Rogo will be the biggest Financial Services Artificial Intelligence company in the world. We're creating a category-defining AI company built on top of foundational AI models like GPT-4.

• Exceptional early users: high-paying contracts with the world's largest investment banks, hedge funds, private equity firms, and consultants.

• Massive demand: extensive waitlist of firms waiting for deployment.

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

• Cutting-edge technology: Work directly with the world's most advanced LLMs, AI, and RAG to build the future of generative AI and redefine finance.

Challenges:

We are building systems that can automate the most complex knowledge work in the world, e.g., financial analysis, research, due diligence, and more.

• Creating financial research that's worth paying attention to: aggregating, analyzing, and producing insights from real-time information. Say goodbye to equity research.

• Dealing with the most sensitive data in the world: client data from the largest financial services companies on earth.

• Working past the edge of published AI research: tackling problems beyond the complexity of existing AI benchmarks.

• Unsolved product, architectural, and business problems: natural language interfaces, prohibitively expensive evaluation of models, massive marginal costs, versioning/training/segregating models per task, client, and so on.

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.

  • Private financial files

• 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

You'll fit in at Rogo if...

• You have fun solving hard problems: we're tackling tech/product/business problems that are unsolved. It's super exciting.

• You like to work hard: we feel lucky to work on these problems, and we enjoy pouring our all into solving them.

• You care deeply about talent density: we care deeply about working with people who are super smart and motivated.

• You have eclectic interests: whether you're a sci-fi aficionado, history buff, strategy game guru, policy wonk, or movie trivia expert, you'll find kindred spirits here.