Quality Assurance Engineer
Deutsche Bank · Pune · onsite · Posted 1d ago
Undisclosed1–2 yrsfulltimeSourced from
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About this role
Job Summary
Role Description
Your key responsibilities
Your skills and experience
Add On Experience (Nice to Have):
How we'll support you
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Job Title: Quality Assurance Engineer - AI Agentic Applications
Location: Pune, India
Corporate Title: AVP
Role Description
Quality Assurance Engineer to validate AI agentic applications across development and production. The position combines specialized AI testing, automation, safety evaluation, and continuous quality measurement. The engineer is responsible to design, build and execute the test strategy for LLM accuracy, RAG ingestion and attribution, agent planning and tool use, recovery behavior, and production failure patterns
Your key responsibilities
- Design, execute, and maintain test strategies and automation frameworks for AI-powered agentic workflows
- Develop and implement specialized testing approaches for LLM-powered applications, validating response accuracy, relevance, and grounding, while identifying hallucinations and edge-case behaviours
- Test and evaluate the behaviour of autonomous and semi-autonomous AI agents, ensuring proper planning, tool selection/sequencing, agent-to-agent interactions, and graceful error/timeout recovery
- Validate Retrieval-Augmented Generation (RAG) performance, including document ingestion, chunking, metadata quality, embedding accuracy, and citation/source attribution
- Perform AI safety and security testing to identify vulnerabilities such as prompt injection (direct/indirect), data leakage, unauthorized tool execution, and privilege escalation
- Establish quantitative AI evaluation metrics and quality gates (e. g. , classification accuracy, groundedness, hallucination rate, tool-selection accuracy, and cost/latency) to measure performance across releases
- Build and maintain automated test suites (covering APIs, UI, integration, RAG, and agent trajectories) to progressively transition the testing suite toward automated continuous evaluation
- Analyze production AI interactions and failed agent journeys to identify recurring failure patterns, create regression tests from production incidents, and ensure decision auditability
Your skills and experience
- Bachelors degree or above in Computer Science, Engineering, Information Technology, or a related discipline
- 5+ years of experience in software quality assurance and testing, with strong knowledge of test planning, functional, integration, regression, and end-to-end testing
- 1-2 years of hands-on experience specifically testing GenAI, LLM, or Agentic AI applications
- Strong experience with test automation and building automation frameworks and test utilities (rather than relying solely on manual tools)
- Strong programming ability in at least one language: Java / Kotlin or Python
- Strong understanding of generative AI technologies, including LLMs, prompt engineering, RAG, embeddings, vector databases, AI agents/agentic workflows, and tool/function calling
- Hands-on experience with LLM and agent evaluation tools such as Langsmith/Langfuse, Ragas, or equivalent frameworks for dataset-based testing, custom evaluation metrics, experiment tracking, tracing, and continuous regression evaluation
Add On Experience (Nice to Have):
- Experience testing API and data integrations, including REST APIs, JSON, SQL, databases, and messaging systems like Kafka
- Good understanding of CI/CD integration and establishing automated quality gates
- Experience working in the financial services industry, with knowledge of regulatory reporting, trade lifecycles, transaction reporting, reconciliations, and regulatory controls
- Experience with AI/LLM orchestration frameworks such as LangChain, LangGraph, LlamaIndex, Vertex AI, OpenAI, or similar technologies
- Hands-on experience with advanced AI testing capabilities such as prompt injection testing, AI evaluation/evals, and AI observability
- Experience testing distributed systems
Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.
How we'll support you
- Training and development to help you excel in your career
- Coaching and support from experts in your team
- A culture of continuous learning to aid progression
- A range of flexible benefits that you can tailor to suit your needs
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
AutomationAI evaluationDistributed SystemsapisclassificationBuilding AutomationintegrationsEmbeddingsHTMLCI/CD IntegrationAI testingAI ToolsFinancial ServicesInformation TechnologyGenerative AiArtificial IntelligenceAI evaluation metrics
About Deutsche Bank
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