AI Implementation Engineer
4 weeks ago
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.
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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.
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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.
Top-of-market cash and equity compensation.
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.
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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.
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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.
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 have fun solving hard problems: we're tackling tech/product/business problems that are unsolved. It's super exciting.
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You like to work hard: we feel lucky to work on these problems, and we enjoy pouring our all into solving them.
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You care deeply about talent density: we care deeply about working with people who are super smart and motivated.
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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.
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