Software Engineer – AI

Thomson Reuters

. Collaborate with a cross-functional team of product managers, UX designers, AI engineers, and software developers to design, implement, and execute comprehensive testing strategies for AI-powered solutions .

Posted 5/18/2026full-timeBengaluru • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformJavaJenkinsJUnitKubernetesOraclePythonSeleniumSQL

About the role

Key responsibilities & impact

Collaborate with a cross-functional team of product managers, UX designers, AI engineers, and software developers to design, implement, and execute comprehensive testing strategies for AI-powered solutions
Design and implement comprehensive test strategies for advanced AI systems, including multi-component pipelines, retrieval-augmented generation (RAG), and custom AI agents with multi-step reasoning
Develop automated testing frameworks for AI model performance, accuracy, and reliability in production environments
Create test cases specific to AI/ML systems, including model validation, output quality assessment, and edge case testing
Validate AI model integrations with production software through robust APIs and scalable data pipelines
Test AI systems adapted to specialized domains, ensuring quality for expert systems in areas such as legal, tax, and compliance
Break down functional requirements into comprehensive test specifications and automation strategies
Mentor junior QA engineers and facilitate technical discussions on AI testing best practices
Contribute to MLOps and LLMOps practices with a focus on quality assurance, continuous testing, and monitoring
Act as a thought leader in AI quality assurance, sharing expertise in company-wide forums and representing the organization in emerging testing technologies
Implement comprehensive automated testing frameworks and monitoring systems for AI model performance, accuracy, and reliability
Create and maintain test automation suites using industry-standard tools and frameworks (Selenium, pytest, etc.)
Ensure compliance with ethical AI principles, security standards, and regulatory requirements through thorough testing
Conduct systems analysis and recommend operational improvements to testing processes
Report deviations of quality to development teams and create informative bug reports with effective follow-up
Create detailed test reports documenting all issues found during testing iterations
Work closely with AI researchers, engineers, designers, and product teams to translate AI quality requirements into effective test strategies
Participate in daily stand-ups and iteration meetings in an Agile/Scrum environment
Optimize testing processes considering factors like test coverage, execution time, and resource usage
Support application feature enhancements by ensuring robust quality assurance for AI capabilities

Requirements

What you’ll need

Bachelor's degree in Computer Science or equivalent experience
5+ years of experience in software quality assurance and test automation; at least 2 years focused on testing AI/ML systems
Proficiency in Python and Java with strong coding skills for test automation
Experience with test automation tools and frameworks (e.g., Selenium, pytest, JUnit)
Strong understanding of machine learning principles, evaluation metrics, and AI system testing methodologies
Knowledge of MLOps/LLMOps and the end-to-end lifecycle of AI-powered software applications
Experience testing AI model integrations in production systems using APIs and data pipelines
Good knowledge and experience working with relational databases (SQL, Oracle) and ability to write complex SQL scripts
Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes)
Hands-on experience with source control and CI/CD systems such as Git and Jenkins
Good knowledge and experience working with Web Services and RESTful APIs
Excellent problem-solving skills and ability to work independently in a fast-paced environment
Strong communication skills and experience working in cross-functional teams
Ability to work on multiple projects while setting priorities to complete tasks within set timelines

Benefits

Comp & perks

Hybrid Work Model: Flexible hybrid working environment (2-3 days a week in the office depending on the role)
Flex My Way: Supportive workplace policies to manage personal and professional responsibilities
Career Development and Growth: Culture of continuous learning and skill development
Industry Competitive Benefits: Comprehensive benefit plans, flexible vacation, Mental Health Days off, retirement savings, tuition reimbursement, employee incentive programs, mental, physical, and financial wellbeing resources
Culture: Award-winning reputation for inclusion, belonging, and work-life balance
Social Impact: Two paid volunteer days off annually, opportunities for pro-bono consulting projects and ESG initiatives

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonJavatest automationmachine learning principlesevaluation metricsAI system testing methodologiesSQLAPIsdata pipelinestest case creation

Soft Skills

problem-solvingcommunicationmentoringcollaborationindependenceprioritizationtechnical discussion facilitationthought leadershipadaptabilityattention to detail

Certifications

Bachelor's degree in Computer Science