QUALIFICATIONS

• Bachelor’s or Master’s degree in computer science, engineering, or related field
• Extensive experience building large-scale systems for search, NLP/ML areas.
• 10+ years of commercial software experience
• Proficiency in programming languages commonly used in AI development (e.g., Python, Java, C++, Rust)
• Experience building large scale distributed systems / Cloud native
• Experience building systems with high availability and low latency
• Excellent problem-solving and analytical skills
• Strong communication and leadership abilities to guide teams and collaborate with stakeholders
• Passion for our mission at ProRata

ADDITIONAL QUALIFICATIONS

• Experience with NLP/Search systems and large scale services.
• Experience with GenAI especially LLMs
• Experience with Prompt engineering
• Experience with GPU inference, Inference software stack CUDA/ROCm
• Experience in Graph Databases is a plus
• Startup company experience

ROLE

We are seeking a talented engineering lead as part of the AI Research & Attribution Engineering Team. In this role, you will be in the heart of our mission and responsible for helping to build out our ProRata Attribution products. Specifically, you will be working on large scale content understanding, distributed attribution serving, knowledge systems, agentic backend work, analytics and reporting. If you are passionate about solving hard problems, making a difference, and creating a fairer AI ecosystem, we want to hear from you!

RESPONSIBILITIES

• Work cross functionally to design and build our ProRata Attribution system & products
• Partner with other engineering and frontend teams on user management, APIs and service optimization
• Ensure the content processing, indexing and attribution infrastructure is designed and implemented for robustness, scalability and automation
• Build out workflow and agentic backend to support new and innovative workflows
• Collaborate with Revenue and Product Delivery teams to contribute to new use cases for solving problems for customers and clients
• Participate in IP creation, such as patenting, case studies, white papers and research papers as determined by business needs