Senior Software Engineer AI
Thomson Reuters is hiring a Senior Software Engineer AI in Bengaluru, India. Level rates it ; you can apply on Level.
AI in this role
Job Description
AI/ML Lead Engineer (Python) - Thomson Reuters
About Thomson Reuters
Thomson Reuters delivers technology and product engineering capabilities for its Tax, Accounting, and Practice business. We support the design, development, enhancement, and maintenance of products serving tax, accounting, audit, and practice management professionals, enabling scalable technology solutions across the Thomson Reuters portfolio.
Key Responsibilities
Lead the technical execution of AI initiatives, including architecture design, roadmap alignment, and delivery oversight.
Design, develop, and deploy scalable AI/ML solutions leveraging modern AI technologies, MLOps, and LLMOps best practices.
Optimize AI model performance through advanced techniques, including domain adaptation of third-party models and algorithms.
Build and enhance AI-powered applications, including AI agents and intelligent automation solutions.
Design and implement monitoring frameworks to track application performance, user behavior, and product insights.
Collaborate with cross-functional teams to translate business requirements into scalable AI solutions.
Stay current with emerging AI, Machine Learning, and Generative AI technologies and drive adoption of relevant innovations.
Act as a technical thought leader by contributing to architecture discussions, sharing AI expertise, and influencing engineering direction.
Support continuous improvement of development, deployment, and operational processes for AI systems.
Required Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
5+ years of hands-on experience in Python development.
3+ years of hands-on experience in Machine Learning and AI solution development.
- Strong experience in Python, NumPy, Pandas, Matplotlib, FastAPI, Scikit-learn, and TensorFlow/PyTorch, with hands-on expertise in developing AI/ML solutions across Computer Vision, Natural Language Processing (NLP), and Intelligent Document Processing (IDP)/Document Analysis systems.Experience building AI Agents and AI-powered applications.
Knowledge of MLOps tools, frameworks, and deployment workflows.
Experience with cloud platforms, preferably Microsoft Azure.
Strong problem-solving, analytical, and communication skills.
Experience working in Agile development environments.
Preferred Qualifications
Exposure to or hands-on experience with .NET and C# technologies.
Experience with Large Language Models (LLMs), Generative AI, and Retrieval-Augmented Generation (RAG) architectures.
Familiarity with LLMOps practices and AI model lifecycle management.
Experience deploying AI solutions in enterprise-scale cloud environments.
Knowledge of CI/CD pipelines and DevOps practices for AI/ML applications.
Experience working with products in the Tax, Accounting, Legal, or Financial domains.
Ability to mentor engineers and drive technical excellence across teams.
#LI-AD2
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.
Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
About Us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.
Learn more on how to protect yourself from fraudulent job postings here.
More information about Thomson Reuters can be found on thomsonreuters.com.
How we rate this
Senior Software Engineer AI at Thomson Reuters rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $168k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you monitor a model once it's live, and how do you know it needs retraining?
- Tell me about a workflow you automated with AI tools, end to end.
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
Adapt your resume
- List these exact terms on your resume: RAG, AI agents, ML Ops, AI Automation, and Computer vision. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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