Mid .NET Engineer - AI Systems

As a Mid Software Engineer at Relativity you will use your development expertise leading software projects to build our software platform, Relativity.

You will report to the Manager of Software Engineering.

We are forming a new squad that is going to create a new way to search in our product – deeply reinventing is using AI, deeply understanding what the system is being asked to search for and couple it with great UX. You will work with terabytes of data, think deeply about how to design scalable, building systems critical for Justice system to work.

You will lead projects on a scalable and dynamic web system that supports integration with multiple search engines, state of the art AI models (think LLMs), work with vector and full text search, implementing embedding of 100s of millions of chunks and search through it. This is all using many of the newest, cloud-based technologies and new systems will be build in cloud-native way. You will build distributable systems composed of multiple databases, processing, and web servers within the massive data field.

Job Description and Requirements

Your Role in Action

• Build systems in the search domain – that are integrated with LLMs, are secure and performant while serving the use needs.
• Work hand in hand with Applied science team and product team to design new search solutions, think about migrations and stress test current ideas
• Be pragmatic – in using object oriented principles, applying SOLID principles and design patterns in a variety of languages such as SQL,  Javascript, and C# (with nice to have Rust) to drive value for our users
• Contribute and provide technical guidance to a software development team to ship high-quality, performant, secure software that operates on data at a massive scale
• Conduct comprehensive unit and integration testing and static analysis and rigorous test strategy development
• Improve the software development process by recommending and instituting changes in procedures
• Provide technical guidance to team members through education and coaching of best practice object-oriented principles
• Participates in regular on-call rotations 
• Embrace and contribute to a learning/growth culture and promote a healthy work environment

Your Skills

• At least 3 years of experience in software development using C# and relational databases and no-SQL databases (ideally Elastic-Search, but others are ok
• Understanding of cloud native architecture patterns, distributed system architecture patterns and practical approach to maintaining and troubleshooting high load production systems in cloud
• Experience being part an Agile software team, including mentoring and project leadership
• Experience developing scalable solutions in Azure or other cloud platforms and building observable systems with SLA and SLOs defined
• Experience in CI/CD
• Understanding of DevOps principles and working with

Relativity is a diverse workplace with different skills and life experiences—and we love and celebrate those differences. We believe that employees are happiest when they're empowered to be their full, authentic selves, regardless how you identify. 

Benefit Highlights: 

• Comprehensive health plan 
• Flexible work arrangements 
• Two, week-long company breaks per year 
• Unlimited time off 
• Long-term incentive program 
• Training investment program 

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. 

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

146 000 and 218 000PLN

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.