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AI Implementation Engineer

3 months ago

New York, United States Rogo Full time
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 an AI implementation engineer at Rogo, you will own the full onboarding & deployment cycle for accounts, from contract signing through launch. You'll fine-tune our AI search models for specific use cases, implement clients' integration architectures, and serve as a consultative partner for guiding accounts going through the integration process. It's cutting-edge engineering at the AI frontier.
Qualifications

Hard Requirements:
  • 3+ years of industry experience as a developer
  • 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
  • Financial Services work experience
  • 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.