At a Glance
- Tasks: Design and optimise scalable systems for AI algorithms in a collaborative team.
- Company: EvenUp empowers injury law firms with AI to ensure fair legal representation.
- Benefits: Enjoy flexible paid time off, health insurance, and a home office stipend.
- Why this job: Tackle complex engineering challenges while making a social impact in the legal system.
- Qualifications: Experience in Python or similar languages; startup experience is a plus.
- Other info: This hybrid role requires 2-3 days in the office, located in Toronto or San Francisco.
The predicted salary is between 36000 - 60000 £ per year.
EvenUp is on a mission to support injury law firms across America in providing a consistent and high standard of representation, ensuring that every injury victim who seeks legal assistance can expect a fair resolution. We’ve helped thousands of victims get fair compensation by empowering their representation with best-in-class insights, automation, and document creation.
Our AI Platform team is looking for a backend-focused Software Engineer who will join us in our mission to make LLMs more accessible and mainstream to the rest of our engineering teams. The team has already built and released some of the best legal industry large language models that extract and summarize data from documents our clients provide. This person will join a multi-disciplinary team of Data Scientists, Researchers and Software Engineers whose day-to-day work lies at the intersection of programming, LLM integration, and iterative experimentation. This is a great opportunity for someone looking to take on complex engineering challenges in the field of generative AI and leverage the power of technology to bring fairness and accessibility to the legal system.
This is a hybrid role with 2-3 days per week spent collaborating with the team in the office. We are open to applicants located in either the Greater Toronto Area or in the San Francisco Bay Area.
What you\’ll do:
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Spearhead the design, development and optimization of robust, scalable systems and infrastructure for deploying pioneering algorithms and systems based on large language models.
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Engage actively throughout the project lifecycle, taking full ownership from inception to deployment and subsequent iterations.
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Grow as an engineer by working with world-class peers on varied and high impact projects.
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Work with internal engineering customers to understand new requirements and address them in a scalable and efficient manner.
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Implement robust, maintainable, reusable code in a modern tech-stack including Python, Postgres, Kubernetes, Elasticsearch, and other technologies.
What we look for:
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Extensive experience building frameworks, libraries, and distributed systems with a focus on reliability, observability, and performance.
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Demonstrated proficiency in developing high-quality software, delivering production-ready code, managing infrastructure, and crafting RESTful APIs to industry standards.
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Clear, structured thinking and a track record of delivering complex projects.
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Startup experience with the ability to thrive in a dynamic, fast-paced, collaborative, and growth-oriented environment.
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Experience in Python or other programming languages such as Go, Java, or C++
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Bonus : experience in AI, legal tech, and social impact projects.
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Benefits & Perks:
Our goal is to empower every team member to contribute to our mission of fostering a more just world, regardless of their role, location, or level of experience. To that end, here is a preview of what we offer:
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Choice of medical, dental, and vision insurance plans for you and your family
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Flexible paid time off
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10 US observed holidays, and Canadian statutory holidays by province
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A home office stipend
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401(k) for US-based employees
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Paid parental leave
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Sabbatical program
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A meet-up program to get together in person with colleagues in your area
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Offices in San Francisco and Toronto
Please note the above benefits & perks are for full-time employees
About EvenUp:
EvenUp is on a mission to level the playing field in personal injury cases. EvenUp applies machine learning and its AI model known as Piai to reduce manual effort and maximize case outcomes across the personal injury value chain. Combining in-house human legal expertise with proprietary AI and software to analyze records. The Claims Intelligence Platform provides rich business insights, AI workflow automation, and best-in-class document creation for injury law firms. EvenUp is the trusted partner of personal injury law firms. Backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures (BCV), SignalFire, NFX, DCM, and more, EvenUp’s customers range from top trial attorneys to America’s largest personal injury firms. EvenUp was founded in late 2019 and is headquartered in San Francisco. Learn more at .
EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Backend Software Engineer, AI Platform employer: C2i Genomics
Contact Detail:
C2i Genomics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Backend Software Engineer, AI Platform
✨Tip Number 1
Familiarise yourself with the latest advancements in large language models (LLMs) and how they apply to backend systems. Understanding the nuances of LLM integration will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Engage with the AI and legal tech communities online. Participating in forums, attending webinars, or contributing to open-source projects can showcase your passion and expertise, making you a more attractive candidate for EvenUp.
✨Tip Number 3
Prepare to discuss your experience with distributed systems and RESTful APIs in detail. Be ready to share specific examples of challenges you've faced and how you overcame them, as this will highlight your problem-solving skills and technical proficiency.
✨Tip Number 4
Network with current or former employees of EvenUp on platforms like LinkedIn. Gaining insights into the company culture and team dynamics can provide you with valuable information to tailor your approach and questions during the interview process.
We think you need these skills to ace Backend Software Engineer, AI Platform
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Backend Software Engineer position. Familiarise yourself with the technologies mentioned, such as Python, Postgres, and Kubernetes, to tailor your application accordingly.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with building frameworks, libraries, and distributed systems. Provide specific examples of projects where you've implemented scalable solutions or worked with large language models.
Showcase Problem-Solving Skills: EvenUp values clear, structured thinking. In your application, include instances where you've tackled complex engineering challenges. Describe your thought process and the impact of your solutions on previous projects.
Tailor Your Cover Letter: Craft a personalised cover letter that reflects your passion for the mission of EvenUp. Mention how your skills align with their goals in the legal tech space and express your enthusiasm for contributing to fairness and accessibility in the legal system.
How to prepare for a job interview at C2i Genomics
✨Understand the Company Mission
Before your interview, make sure you grasp EvenUp's mission to support injury law firms. Familiarise yourself with how their AI platform works and be ready to discuss how your skills can contribute to making LLMs more accessible.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, distributed systems, and RESTful APIs. Highlight specific projects where you've implemented scalable solutions, as this aligns with the role's requirements.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills. Prepare examples of complex engineering challenges you've faced and how you approached them, especially in a fast-paced environment.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the team dynamics and project lifecycle. Inquire about the types of projects you'll be working on and how success is measured within the team.