Job Description

The AI Software Engineer is a key member of the Platform Engineering team responsible for designing, developing, and maintaining shared AI and data platform components. You will build and evolve services and tools that power intelligent features across our products, with a strong emphasis on Python and C# backend development, RAG architectures, and agentic AI solutions. You will work with architects and product teams to deliver reliable, scalable, and secure AI platform capabilities.

About The Role:

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Design, implement, and maintain backend services and APIs in Python and C# as part of our AI platform. Build and optimize Retrieval-Augmented Generation (RAG) systems, including retrieval pipelines, ranking, and orchestration with LLMs. Develop scalable data ingestion pipelines to process structured and unstructured data (documents, text, logs, etc.) for downstream AI workflows. Implement and maintain embedding generation workflows, including model integration, vector storage, and retrieval integrations. Design and experiment with chunking strategies (e.g., semantic, token-based, hierarchical) to improve retrieval quality, latency, and context relevance. Contribute to the design and development of agentic AI solutions (multi-step tools, task planning, tool-calling, and workflow orchestration) that automate complex user and system tasks. Collaborate with platform, security, and infrastructure teams to ensure solutions are robust, observable, secure, and compliant with organizational standards. Write clean, testable, well-documented code and contribute to shared libraries, SDKs, and internal frameworks. Participate in code reviews, design reviews, and architectural discussions, driving best practices in software engineering and AI integration. Monitor production systems, troubleshoot issues, and improve reliability, performance, and cost efficiency. Stay current with emerging AI/LLM tooling, frameworks, and patterns; evaluate and integrate relevant technologies into the platform. Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. Strong fluency in Python and C#, with proven experience building production-grade backend services or micro-services. Solid understanding of software engineering fundamentals: data structures, algorithms, design patterns, testing, and CI/CD. Experience building or integrating with RESTful APIs and working with modern cloud platforms (e.g., Azure, AWS, or GCP). Familiarity with version control (Git) and collaborative development workflows. Practical experience designing or implementing Retrieval-Augmented Generation (RAG) pipelines (e.g., retrieval, reranking, context construction, prompt assembly). Experience with data ingestion workflows: parsing, normalization, content extraction, and transformation for unstructured data. Experience working with embeddings: embedding model integration, vector databases (e.g., Pinecone, FAISS, Azure AI Search, etc.), and similarity search. Exposure to designing and tuning chunking strategies (by size, semantics, structure, or metadata) to improve retrieval quality. Experience building agentic AI solutions, such as: + Multi-step agents that call tools/services
+ Task planning and orchestration pipelines
+ Workflow engines integrating LLMs with business logic and external APIs
Familiarity with AI/LLM frameworks and libraries (e.g., LangChain, Semantic Kernel, guidance libraries, or similar). Experience with event-driven architectures, messaging/queueing systems (e.g., Kafka, Service Bus, RabbitMQ). Knowledge of security, compliance, and governance considerations in AI systems (e.g., data privacy, PII handling, access controls).

About You:

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Strong problem-solving and analytical skills, with the ability to design pragmatic, scalable solutions. Ability to translate product and platform requirements into robust technical designs. Collaborative mindset and effective communication skills when working with cross-functional teams. Curiosity and willingness to experiment with new AI patterns and tools, while maintaining engineering discipline. Ownership mentality: comfortable taking end-to-end responsibility for services from design through operations. Delivery of reliable, maintainable AI platform components and services that are adopted by internal product teams. Measurable improvements in retrieval quality, latency, and overall performance of RAG and agentic workflows. Reduction in manual effort through automation and reusable AI building blocks. Positive feedback from partner teams on platform usability, documentation, and support.
#LI-KP2

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 .


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More information about Thomson Reuters can be found on thomsonreuters.com.