Why Grasp

Grasp is an AI platform for the financial advisory industry. The $1.4 trillion financial advisory industry relies heavily on costly and scarce cognitive labor. The industry is so inefficient that advisory firms can charge millions of dollars for teams of junior employees, whose work is 90% manual and repetitive. It is clear that AI will automate large parts of this work and provide a massive uplift in productivity.

Our platform uses the latest advances in AI to solve the time-consuming and complex workflows unique to the financial advisory industry. Since launching our platform last fall, we have grown our revenue very fast, are supported by top-tier investors, and are scaling our team quickly.

As part of our core technical team, you will be working on the absolute frontier of AI, building an LLM-based product with very strong customer traction.

Role

At Grasp, we are at the forefront of developing AI-driven solutions that reshape professional services. Our AI relies on high-quality, well-structured data, making the role of a Data Engineer crucial to our success. We are seeking talented individuals to join our team in Stockholm, Sweden. The position is onsite, and we offer relocation assistance for candidates.

Your responsibilities will include:

• Data Pipeline Engineering: Design, build, and maintain scalable data pipelines that ensure the seamless flow and availability of diverse legal datasets for our AI models. You will craft systems that are robust and efficient, facilitating easy access and optimal use for analysis and AI deployment.

• Database Management and Performance Tuning: Take charge of our database environments to maximize efficiency in data storage and retrieval. Your focus will be on optimizing performance to support high-speed data operations while ensuring the utmost in data integrity and security.

• Data Structuring and Optimization: Develop innovative strategies for data chunking and parsing to enhance our RAG pipelines.

• Product Enhancement: Work closely with AI engineers to refine and advance our data infrastructure, aligning it with evolving AI capabilities and business needs.

• System Evaluation and Iteration: Implement and manage systems to monitor and evaluate the health and performance of our data processes. Identify areas for improvement, and continuously iterate on solutions to enhance data handling and utilization, ensuring alignment with our overall AI strategy.

Skills and requirements

For this role you should:

• Have a strong track-record of building AI/ML-based systems or products.
• Have experience in building with LLMs - both using existing models and training/fine-tuning new models.
• Have experience in building information retrieval or RAG pipelines.

Additionally, we think you will thrive in this role if you:

• Are excited about building the future of AI systems in knowledge work.
• Like to move fast, with a high sense of urgency in getting things done.
• Are a self-starter and have a high degree of self-directedness.
• Have excellent problem-solving and analytical skills.

What we offer

• A unique opportunity to join a fast-growing startup in a once-in-a-lifetime moment in technology (AI).
• A great opportunity to learn and develop both on a professional and personal level.
• Lots of responsibility from day one.
• A competitive compensation package, incl. stock options.