Elastic
Elastic is hiring a AI QA & Evaluation Engineer in Bangalore, India. The salary has not been published by the employer. Everything below comes from the employer’s own posting, with the apply link going directly to their careers portal.
About this role
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are looking for a skilled QA & Evaluation Engineer to join our team. The role blends strategic QA leadership with hands-on technical validation and structured evaluation to safeguard the accuracy, reliability, compliance, and ethical use of AI models. You will partner across IT and Engineering teams to identify, design, implement and run robust testing frameworks and evaluation rubrics for a portfolio of GenAI solutions that will be used across our organization. What You Will Be Doing Be a primary contributor to our AI strategy, helping validate and test AI infrastructure, custom solutions and third-party SaaS offerings. Test Strategy & Execution: Design and implement comprehensive test strategies for AI/ML systems, including accuracy, bias, robustness, and regression testing. Rubric-Based Evaluation: Design and implement self-contained evaluation tasks, including prompts, supporting files, and detailed grading rubrics to assess AI performance on functional workflows. Automation & CI/CD: Automate validation suites for agentic/multi-agent systems, integration testing, and CI/CD pipelines for ML models. Data Validation: Validate that AI/ML models are consuming accurate , authorized, and properly structured data sources; ensuring data quality across training and inference. Observation & Reporting: Meticulously observe and document AI agent behaviors, producing crisp, precise summaries and reports on model performance and hallucinations. Output Grounding: Validate prompt engineering outputs from a data accuracy standpoint, ensuring responses are grounded in verified data sources. Refinement & Iteration: Iterate and refine evaluation tasks and rubrics based on feedback and team collaboration to ensure robust benchmarking methodologies. Security & Governance: Ensure all AI data sources and structures meet governance, regulatory, and compliance standards, while implementing best practices for security and data privacy. Collaborate with teams from different areas. These areas include IT Engineering, IT Operations, Data & Integrations, PMO, CRM, Risk & Compliance, and business technology. Stay current on the latest work in AI and make technical recommendations to the organization. What You Bring Proficiency in Python, TypeScript, or other programming languages used in AI and test automation. Proven skill in designing or applying rubric-based evaluation, grading against set criteria, or building structured scoring frameworks. Direct experience with LLM evaluation frameworks and benchmarking tools such as LangSmith, Confident AI, etc. Knowledge of the GenAI stack and solutions including Retrieval Augmented Generation (RAG). LLMs: Azure OpenAI, Vertex AI, ChatGPT Enterprise or similar. High attention to detail and ability to notice subtle patterns or inconsistencies (such as data hallucinations or logic errors) that others might miss. Advanced written communication skills, especially for documenting nuanced observations and feedback. Experience with Cloud platforms (Azure, GCP, AWS). Thorough understanding of DevOps/automation/CI/CD tools: GitHub, Terraform. Comprehension with AI ethics, risk management, and data governance. Additional Information – We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing…
Links directly to the employer’s own application form. Free to apply.
What the pay looks like
Elastic has not published a salary for this role. That is normal — many employers only discuss pay once you reach the offer stage. Ask the recruiter for the range early so you do not spend weeks on a process that cannot meet your number.
Whatever figure you are quoted is CTC, not take-home. Employer PF, gratuity and any variable component sit inside it. Our in-hand salary calculator converts a CTC figure into a realistic monthly number.
Before you apply
Never pay to apply. No genuine employer charges a registration fee, security deposit or training cost. Any request for money is a scam, without exception.
Apply through the employer’s own domain. The button above points at Elastic’s careers portal. If you reach this role through a message or email instead, navigate to the company’s site yourself rather than following the link.
Hold back personal documents. Bank details and identity documents belong at the offer stage, confirmed over official company email — never during a chat-app conversation.
Common questions
Is this listing genuine?
Yes. The apply button links to the requisition on Elastic’s own applicant tracking system, not to a third-party form. TechJobs360 never charges candidates.
How current is it?
This listing was published on 2026-08-27 and is checked against the employer’s portal daily. If Elastic closes the requisition, the page is withdrawn. Openings can still close between checks, so treat the employer’s own portal as authoritative.
What are the eligibility requirements?
Elastic lists this as a 2-5 role. Exact eligibility — degree, batch year and cut-offs — is set by the employer and stated on the official posting.
How do I apply?
Use the apply button above. It opens Elastic’s official application form — there is no TechJobs360 step in between and no account needed here.
TechJobs360 is an independent career-information platform and is not the employer for this role. Eligibility, compensation and deadlines are set by Elastic and can change without notice. Always confirm current details on the official portal before applying. We never charge candidates a fee.
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To apply for this job please visit jobs.elastic.co.