At a Glance
- Tasks: Develop AI-driven software that transforms professional workflows and enhances document automation.
- Company: Join Thomson Reuters, a global leader in AI technology and innovation.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of AI advancements and make a real impact in various domains.
- Qualifications: Experience in AI/ML solutions, .NET, Azure, and strong collaboration skills required.
- Other info: Dynamic team environment with a focus on continuous learning and career development.
The predicted salary is between 36000 - 60000 £ per year.
Are you passionate about building AI-driven software that transforms how professionals work? Join a dynamic and highly skilled team at Thomson Reuters, where we invest deeply in AI technologies and explore emerging fields with the backing of a global leader.
About the Role: As a Senior Software Engineer – AI, you will play a vital role in developing intelligent systems that power the next generation of expert solutions across legal, tax, risk, and compliance domains. In this role, you will be an embedded AI expert on the Contract Express team, advancing our document automation platform with cutting-edge AI capabilities.
- Lead the technical execution of AI initiatives for our document automation platform, including architecture decisions, roadmap alignment, and delivery oversight.
- Design, build, and deploy scalable AI/ML solutions leveraging emerging technologies and best practices in MLOps and LLMOps.
- Optimize AI performance through advanced techniques, including domain-specific adaptation and fine-tuning of third-party models and algorithms.
- Integrate AI components within a modern software stack (.NET, Azure, Angular) to deliver robust, secure, and performant features inside Contract Express.
- Design and implement continuous monitoring of application and user behavior to generate product insights, inform prioritization, and improve AI-driven experiences.
- Collaborate closely with product managers, engineers, designers, and subject-matter experts (legal, tax, risk, compliance) to translate business needs into effective AI solutions.
- Stay abreast of AI developments (with a focus on LLMs, retrieval-augmented generation, and prompt engineering) and promote the learning and adoption of relevant technologies within the team.
- Act as a thought leader by contributing to internal forums, representing the team in areas of AI expertise, mentoring other engineers, and influencing the broader technical direction.
About You: Solid, hands-on experience building and deploying AI/ML solutions in production environments. Strong software engineering background, ideally with experience in:
- .NET (C#) for backend services and APIs
- Azure cloud services (e.g., App Services, Functions, Storage, AI-related services)
- Frontend development with Angular or similar frameworks
- Practical experience with MLOps/LLMOps practices (CI/CD for models, experiment tracking, monitoring, evaluation, and observability)
- Experience working with large language models (LLMs) and/or NLP techniques, including integration of third-party AI platforms and services
- Proven ability to make sound architectural decisions and to balance innovation with maintainability, security, and performance.
- A collaborative mindset and strong communication skills, with the ability to partner effectively across disciplines and explain complex AI concepts to non-technical stakeholders.
- Curiosity and a continuous learning mindset, staying current with the rapidly evolving AI landscape and bringing new ideas back to the team.
What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
Senior Software Engineer AI employer: TRSS
Contact Detail:
TRSS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer AI
✨Tip Number 1
Network like a pro! Reach out to current employees at Thomson Reuters on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Senior Software Engineer – AI role.
✨Tip Number 2
Show off your skills! Prepare a portfolio or GitHub repository showcasing your AI/ML projects. This will give you an edge during interviews, as you can demonstrate your hands-on experience with relevant technologies.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your coding skills and AI concepts. Use platforms like LeetCode or HackerRank to solve problems that are relevant to the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the team at Thomson Reuters.
We think you need these skills to ace Senior Software Engineer AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Software Engineer – AI role. Highlight your hands-on experience with AI/ML solutions and any relevant projects you've worked on. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI-driven software and how your background makes you a perfect fit for our dynamic team. Don’t forget to mention specific technologies you’ve worked with, like .NET or Azure.
Showcase Your Projects: If you've got any personal or professional projects related to AI, make sure to include them in your application. We love seeing real-world applications of your skills, especially if they involve LLMs or MLOps practices. It gives us a glimpse into your innovative side!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at TRSS
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI, especially around LLMs and MLOps. Be ready to discuss your hands-on experience with AI/ML solutions and how you've tackled challenges in production environments.
✨Showcase Your Technical Skills
Prepare to dive deep into your software engineering background. Highlight your experience with .NET, Azure, and Angular. Be ready to explain architectural decisions you've made and how they balance innovation with performance and security.
✨Collaborate Like a Pro
Since this role involves working closely with various teams, think of examples where you've successfully collaborated with product managers, designers, or subject-matter experts. Show how you can communicate complex AI concepts to non-technical folks.
✨Stay Curious and Engaged
Demonstrate your passion for continuous learning in the AI field. Share any recent projects or ideas you've explored that could benefit the team. This shows you're not just about the job but genuinely interested in advancing AI technologies.