AI Software Engineer

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:

• 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.
• Bachelors or Masters 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:

• 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

Whats in it For You

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 26000 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 .