Prompt Engineer
4 days ago
Experience: 1–4 Years
Location: Bangalore (Onsite)
About the Role:
We are seeking an Agentic Automation QA Engineer with 1–4 years of experience to test, validate, and enhance Generative AI (GenAI) and Agentic automation workflows. The ideal candidate should possess a strong understanding of software testing principles, prompt evaluation, and LLM-based application behavior.
Candidates with Java programming experience will be given preference.
Key Responsibilities:
- Design, develop, and execute test cases for Agentic workflows and AI-driven automation processes.
- Validate AI agent behaviors, responses, and decision-making logic to ensure correctness, stability, and reliability.
- Evaluate and benchmark LLM outputs for accuracy, coherence, consistency, and alignment with defined objectives.
- Collaborate with developers, data scientists, and prompt engineers to identify and resolve issues across automation pipelines.
- Develop automated test frameworks or scripts for repeatable validation of GenAI features and Agentic components.
- Maintain detailed documentation of test plans, scenarios, and results for continuous improvement.
- Stay updated on LLM testing methodologies, Agentic frameworks, and emerging trends in AI automation QA.
Required Skills & Qualifications:
- 1–4 years of experience in QA, automation testing, AI validation, or NLP-based systems.
- Hands-on experience with LLM testing or evaluation (e.g., GPT, Claude, Gemini, or similar models).
- Strong understanding of software QA methodologies, testing types, and debugging processes.
- Proficiency in Java or another programming language for automation and testing workflows.
- Knowledge of GenAI concepts such as context handling, temperature tuning, and prompt behavior analysis.
- Excellent analytical, problem-solving, and documentation skills.
- Strong communication and collaboration skills for cross-functional teamwork.
Good to Have
- Experience with Agentic AI frameworks, LLMOps, or LLM evaluation tools such as DeepEval or LangChain.
- Familiarity with REST APIs, Postman, or cloud-based AI platforms (OpenAI, Anthropic, Vertex AI, etc.).
- Exposure to CI/CD pipelines, automated QA tools, or AI model monitoring systems.
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