Quality Assurance Engineer – AI Agentic Applications, AVP

Deutsche Bank AG; Pune District; On-site; INR 1,500,000 - 2,700,000; Full time

Benefits offered by this job

Best in class leave policy

Gender neutral parental leaves

Sponsorship for industry certs

Job summary

Deutsche Bank AG in Pune seeks a Quality Assurance Engineer – AI Agentic Applications (AVP) to validate AI agentic workflows across development and production. The role emphasizes test strategy, automation, and rigorous evaluation of LLM-powered features.

The position offers opportunities to contribute to AI safety, RAG testing, and continuous quality improvement within a collaborative engineering environment.

Qualifications

• 5+ years of experience in software quality assurance and testing, including test planning, functional, integration, regression and end-to-end testing
• 1–2 years hands-on experience specifically testing GenAI, LLM, or Agentic AI applications
• Strong programming ability in Java/Kotlin or Python
• Experience with AI testing tools and evaluation frameworks for dataset-based testing and continuous regression

Responsibilities

• Design, execute, and maintain test strategies and automation frameworks for AI-powered agentic workflows
• Develop testing approaches for LLM-powered applications, validating accuracy, relevance, grounding, and hallucinations
• Test autonomous and semi-autonomous AI agents, ensuring planning, tool usage, interactions, and recovery
• Validate RAG performance: document ingestion, chunking, metadata quality, embeddings, and attribution
• Perform AI safety and security testing to identify vulnerabilities such as prompt injections and data leakage
• Establish quantitative AI evaluation metrics and quality gates across releases
• Build and maintain automated test suites for APIs, UI, integration, RAG, and agent trajectories
• Analyze production AI interactions to identify recurring failures and create regression tests

Skills

QA experience

GenAI testing

Java/Kotlin

Python

LLM evaluation

Automation frameworks

Education

Bachelor's degree in Computer Science/Engineering/IT

Tools

Langsmith/Langfuse

Ragas

LangChain

LangGraph

Job description

Quality Assurance Engineer – AI Agentic Applications, AVP

Job ID:R0440541 Full/Part-Time: Full-time

Regular/Temporary: Regular Listed: 2026-11-02

Location: Pune

Position Overview

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

What we’ll offer you

As part of our flexible scheme, here are just some of the benefits that you’ll enjoy

• Best in class leave policy
• Gender neutral parental leaves
• Sponsorship for Industry relevant certifications and education
• Employee Assistance Program for you and your family members
• Comprehensive Hospitalization Insurance for you and your dependents
• Accident and Term life Insurance
• Complementary Health screening for 35 yrs. and above

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

• Bachelor's 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

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

About us and our teams

Please visit our company website for further information:

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair and inclusive work environment.