Quality Assurance Engineer

Deutsche Bank; Pune District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Deutsche Bank in Pune is seeking a Quality Assurance Engineer to validate AI agentic applications across development and production. You will 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.

Responsibilities include developing automated test suites for APIs, UI, integration, and RAG workflows, while monitoring AI safety, quality metrics, and continuous regression testing

Qualifications

• BS in CS/Engineering/IT or related discipline.
• 5+ years of software quality assurance and testing experience (functional, integration, regression, end-to-end).
• 1–2 years of hands-on GenAI/LLM/Agentic AI testing experience.
• Strong automation experience and building test frameworks.
• Proficiency in Java or Python.

Responsibilities

• Design, execute, and maintain test strategies and automation for AI-powered agentic workflows.
• Validate LLM accuracy, relevance, grounding, and hallucination edge cases.
• Evaluate autonomous and semi-autonomous AI agents for planning, tool use, and recovery behavior.
• Assess RAG performance: document ingestion, chunking, embedding accuracy, and attribution.
• Conduct AI safety tests for prompt injection, data leakage, and privilege escalation.
• Define quantitative AI evaluation metrics and quality gates across releases.
• Build automated test suites for APIs, UI, integration, RAG, and agent trajectories.
• Analyze production AI interactions to identify failure patterns and regression tests.

Skills

Test automation

QA experience

Programming in Java/Python

GenAI/LLM testing

AI safety testing

CI/CD

Distributed systems testing

Education

Bachelor's degree in CS/Engineering/IT

Tools

Langsmith

Langfuse

Ragas

LangChain

LlamaIndex

Vertex AI

OpenAI tools

Job description

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 (eg 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

Minimum Required Skills Experience (Must Have):

• 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.