Company overview TraceLink s software solutions and Opus Platform help the pharmaceutical industry digitize their supply chain and enable greater compliance visibility and decision making It reduces disruption to the supply of medicines to patients who need them anywhere in the world Founded in 2009 with the straightforward mission of protecting patients today Tracelink has 8 offices over 800 employees and more than 1300 customers in over 60 countries around the world Our expanding product suite continues to protect patients and now also enhances multi-enterprise collaboration through innovative new applications such as MINT Tracelink is recognized as an industry leader by Gartner and IDC and for having a great company culture by Comparably ML Engineer - Agentic Systems Validation 0-2 Years Experience Location Pune India Job Profile QATGP3 Role Overview We re looking for an early-career SDET Software Development Engineer in Test to help build and maintain quality practices for AI-powered and agentic systems-including LLM-based features tool-using agents and automated workflows You ll work embedded within the ML AI team collaborating closely with ML engineers software engineers and product partners to ensure AI experiences are reliable testable and production-ready This role is a great fit for someone who enjoys learning fast writing automation and validating complex behaviors across modern systems-especially systems that can behave differently run-to-run due to non-determinism Key Responsibilities End-to-End Testing for Agentic Systems Execute and expand end-to-end testing for complex AI and multi-agent workflows Help validate agent behaviors such as multi-step execution and task completion tool API calling correctness context handling and state transitions retry fallback behavior under failures Assist in building and maintaining regression test coverage using golden datasets and repeatable evaluation scenarios Create and maintain test cases for functional integration and regression testing across services and UI Test Automation Quality Engineering Contribute to and maintain test automation frameworks for API and service-level testing and UI where needed Write automated tests as part of CI CD pipelines to provide fast feedback for engineering teams Investigate failures and help triage issues with engineers using logs error traces and test reports Improve test data setup test environments and test execution reliability Production Monitoring Support Assist with monitoring agentic systems in production tracking workflow failures unexpected agent behavior or degraded quality latency and dependency issues Help analyze incidents reproduce problems and contribute to post-incident fixes and regression prevention Support observability efforts by validating key signals logs traces metrics and contributing to dashboards Collaboration Learning Work closely with the ML AI team to understand system behavior and quality risks Participate in code reviews test reviews and sprint planning as a quality partner Learn AI testing patterns and contribute ideas to improve reliability and evaluation practices Required Skills Basic to intermediate programming skills in Python Java or JavaScript TypeScript Familiarity with automated testing concepts unit tests vs integration tests vs E2E tests Some experience with at least one testing framework examples Python pytest unittest Java JUnit TestNG JS TS Jest Playwright Understanding of APIs and service testing REST fundamentals JSON HTTP Comfort debugging issues using logs error traces and test reports Good understanding of non-deterministic agentic systems including why AI LLM-based behaviors can vary between runs how multi-step agent workflows are developed planning tool use observation iteration practical approaches to testing agentic workflows golden tests controlled inputs mocking tools dependencies replayable scenarios and evaluation-based assertions rather than exact string matching Strong communication skills and eagerness to collaborate in a fast-moving team Qualifications 0-2 years of experience in QA automation SDET software engineering internships co-ops or academic projects Bachelor s degree in Computer Science Engineering or equivalent practical experience Exposure to CI CD tools GitHub Actions Jenkins GitLab CI etc is a plus Interest in AI ML systems and motivation to grow into AI quality engineering Nice-to-Have Personal projects or coursework involving AI ML chatbots LLMs or workflow automation Exposure to Playwright Selenium or API testing tools Postman REST Assured etc Familiarity with cloud basics AWS GCP Azure and microservice concepts Interest in observability tools Datadog Grafana ELK OpenTelemetry Awareness of AI safety concepts prompt injection data leakage risks Please see the for more information on how Tracelink processes your personal information during the recruitment process and if applicable based on your location how you can exercise your 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📌 Ml Engineer – Agentic Systems Validation (Pune)
🏢 TraceLink
📍 Pune