Ai Engineer

Summary

Join Factor's R&D team as a Full-stack Engineer, contributing to the development of generative AI accelerators. We utilize a discovery-led approach, prioritizing rapid iteration and collaboration. The role involves designing and developing full-stack solutions, integrating generative AI capabilities, and working with stakeholders to refine functionalities. While experience with React, TypeScript/JavaScript, and Python is preferred, a willingness to learn and adapt is crucial. We value a fast-paced, collaborative environment where individuals are comfortable with uncertainty and quick pivots. This is not a traditional development role; if you thrive in exploration and rapid iteration, this opportunity is for you.

Requirements

• A deep understanding of generative AI and adjacent tools and frameworks
• General proficiency in React and TypeScript/JavaScript, Python, and other languages/frameworks
• Ability to iterate, experiment, and make high-quality design/development decisions quickly
• Solid understanding of core generative AI prompting techniques and strategies
• Familiarity with APIs exposed by frontier model providers
• Familiarity with cloud platforms and infrastructure (Azure)
• General understanding of DevOps practices and CI/CD pipelines
• Excellent communication skills and ability to work in a fast-paced , collaborative environment

Responsibilities

• Work with R&D and delivery stakeholders to design and develop full-stack accelerators and AI-powered capabilities using appropriate technologies
• Engage with users to understand problem/opportunity hyperspace within the scope of contract negotiation workflows
• Review and implement cutting-edge techniques described in applied AI research, including but not limited to novel chunking, reranking, and search approaches
• Integrate and implement generative AI capabilities surfaced across the communication layer, including web applications and Office add-ins
• Support and maintain deployed accelerators; work with users to refine capabilities
• Collaborate with UI/UX designers/other stakeholders to create intuitive interfaces for web apps and Office add-ins
• Participate in code reviews and provide constructive feedback

Preferred Qualifications

• Knowledge of OAuth 2.0 and secure authentication practices
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)
• Demonstrated experience utilizing or leveraging skills listed above in native AI solutioning, especially in the broader legal services on contracting space
• Contributions to open-source projects