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Software Engineering Team Lead for AI Search
1 tydzień temu
The Software Engineering Team Lead is responsible for developing software and leading a team to apply software engineering best practices, providing high-quality, maintainable, reusable, performant, and scalable software.
This position plays a key role in forming a new squad that will create a revolutionary way to search in our product by integrating Artificial Intelligence. The successful candidate will work with massive amounts of data, thinking deeply about how to design scalable systems critical for the Justice system to function effectively.
You will lead projects on a dynamic web system that supports integration with multiple search engines, state-of-the-art AI models, vector, and full-text search, implementing embedding of hundreds of millions of chunks and searching through them using cloud-native technologies. This role involves building distributable systems composed of multiple databases, processing, and web servers within a massive data field.
Your Role in Action- Lead an Agile software development team built around AI Search, prioritizing tasks, making decisions about trade-offs, and solving technical problems as they arise.
- Design software using principles such as abstraction, low coupling, high cohesion, modularization, encapsulation, information hiding, interfaces, and separation of concerns.
- Apply pragmatic object-oriented programming techniques, SOLID principles, and design patterns in languages like SQL, JavaScript, and C# (with a nice-to-have knowledge of Rust) to drive value for users.
- Analyze and estimate non-functional software requirements to build cloud-native services providing value for users.
- Demonstrate ownership and accountability for the features developed by your team.
- Develop systems that balance security, observability, and extensibility with time-to-market and user value.
- Be excited to deliver cutting-edge systems interacting with Large Language Models in the legal space, requiring careful management of input and output, observing those systems, building RAG architectures that are extensible, and having a deep interest in how this provides value to our users.
- Contribute to system software architecture development and future projects by working with Staff, Principal Engineers, and Architects.
- Implement software using practical applications of algorithms, defensive programming, exception handling, fault tolerance, design patterns, and Object-Oriented Design and Programming best practices such as SOLID.
- E nsure best practices of Test-Driven Design and the use of autonomous frameworks and Continuous Integration.
- Mentor team members and guide development growth, participating in regular on-call rotations, embracing a learning/growth culture, and promoting a healthy work environment.
