Software Development Engineer

As a Software Development Engineer at Thomson Reuters, you'll be responsible for developing backend systems that support CoCounsel's innovative applications. This includes writing Python API server code, designing high-volume client code, and orchestrating user-friendly interactions with cutting-edge Large Language Models. Additionally, you'll collaborate closely with prompt engineers and other experts to enhance our product offerings while participating in high-level architecture discussions across teams.

To apply for the Software Development Engineer position at Thomson Reuters, you should ideally have at least two years of software engineering experience, particularly in a production environment. A strong command of Python, HTTP APIs, and SQL is essential. While it's preferred that you have experience with large language models, a passion for machine learning systems will make you a great fit for our team. Being adaptable and willing to collaborate is also crucial.

For the Software Development Engineer role at Thomson Reuters, proficiency in Python is essential as you'll be developing API server code. Familiarity with HTTP APIs and SQL is also required to manage and query databases effectively. Depending on your experience, having knowledge of working with large language models, such as those from OpenAI or open-source models, will be a significant advantage.

Thomson Reuters promotes a collaborative and inclusive work culture for Software Development Engineers. The company values diversity and encourages continuous learning, providing ample opportunities for personal and professional growth. You will work in a hybrid model that supports a healthy work-life balance while being part of a team that is passionate about innovation and making a meaningful impact within the legal industry.

As a Software Development Engineer at Thomson Reuters, you can expect industry-leading benefits, including flexible vacation options, Mental Health Days, access to the Headspace app, retirement savings programs, and tuition reimbursement. The culture emphasizes personal wellbeing, offering resources for mental, physical, and financial health, along with a supportive hybrid work environment.

When answering this question, highlight specific projects where you utilized Python for backend development. Discuss any frameworks or libraries you used, such as Django or Flask, and talk about how you handled API integrations and data management. Be sure to mention the scale of these projects and any challenges you overcame, which demonstrates your problem-solving skills.

In your response, provide examples of how you’ve used SQL to create, read, update, or delete data from databases. Mention the types of databases you’ve worked with, any performance optimizations you implemented, and how you ensured data integrity. Sharing specifics about queries you wrote or database designs you contributed to can showcase your expertise.

Focus on a specific problem you faced that required innovative thinking. Explain the context, your approach—such as the algorithms or models you chose—and the outcome. Highlight any collaboration with team members or stakeholders, demonstrating your ability to work within a team and effectively communicate complex concepts.

When answering this question, discuss any direct experience you have with implementing Large Language Models. Talk about the use cases, the technology stack involved, and the impact on user experience. If applicable, share metrics that illustrate the success of your integrations and how you addressed any challenges that arose.

Discuss your time management strategies, such as using project management tools, Agile methodologies, or prioritization frameworks like the Eisenhower Matrix. Provide examples of situations where you had to manage competing deadlines or shift priorities while ensuring quality and meeting project goals.

Share your coding practices that contribute to code maintainability, such as writing modular code, adhering to style guides, and using version control effectively. Talk about your experience with code reviews, documentation, and unit testing, emphasizing the importance of these practices in collaborative environments.

Provide a step-by-step outline of your debugging process, starting from identifying and replicating the issue. Mention tools you use for debugging, such as logging and monitoring solutions, and your strategies for gathering data and isolating the root cause. Highlight the importance of thorough testing after resolving issues.

Select a scenario where your contributions made a tangible impact. Outline the problem, your proposed solution, the implementation process, and the results. Emphasize your analytical skills and how you solicited feedback to refine your approach. This showcases your proactive attitude and focus on continuous improvement.

Discuss the methods you use to stay informed about industry advancements, such as participating in online courses, attending conferences, following industry leaders on social media, or engaging with tech communities. This shows your commitment to professional development and your proactive approach to learning.

Express your passion for AI and its transformative potential in the legal field. Discuss specific advancements you find exciting, such as automation of routine tasks, enhancing decision-making, or providing personalized experiences for clients. This question allows you to connect your expertise with the company's mission.