If you are a QA professional who enjoys finding defects before users do and wants to move beyond traditional software testing into AI/ML quality engineering, this Techjays opportunity could be an excellent career move. The role combines Manual Testing, Automation, API Testing and AI feature validation, making it particularly relevant for testers looking to build specialized AI QA experience.
🏢 About Techjays
Techjays is an AI-focused technology company headquartered in Menlo Park, California. The company says it has 200+ team members across 7 countries and works with businesses to put AI into production. Its services include Conversational AI, Data Intelligence, Voice AI, Process Automation, RAG-powered search and Operational AI.
Techjays follows an outcome-driven approach and works across industries including manufacturing, healthcare, financial services, construction and engineering. Its current AI work makes this QA position particularly interesting because testers can gain exposure to systems where conventional functional validation needs to be combined with AI-specific quality checks.
📌 Job Details
🔹 Position: AI Quality Engineer
🔹 Experience: 2–5 years
🔹 Location: Coimbatore, Tamil Nadu — Onsite
🔹 Employment: Full-Time
🔹 Joining: Immediate / ASAP
🔹 Domain: AI/ML, Software Quality & Automation
🔹 Application: srikrishna.t@techjays.com
🔹 Subject: Application – AI Quality Engineer – [Your Name] – [City] – [Years of Exp]
🚀 Why Is This Role Good for Your Experience?
This isn’t a conventional QA position focused only on UI regression. You would work across AI-powered products, chatbots, LLM-based functionality and recommendation engines, while also maintaining traditional QA fundamentals.
The biggest advantage is the opportunity to develop an AI Quality Engineering profile. You can strengthen Manual QA, Automation, API testing, prompt testing, AI feature validation, SQL, BDD and modern browser testing in the same role. Techjays also highlights rapid AI delivery, continuous monitoring, RAG and AI systems in its engineering approach.
🧪 Skills Required
🔹 2–5 years of Manual & Automation QA experience
🔹 AI/ML product testing — chatbots, LLMs or recommendation engines
🔹 Test case design, test execution and defect management
🔹 API testing using Postman
🔹 Prompt testing and AI feature validation
🔹 Selenium, Playwright or Cypress
🔹 Testim, Applitools or similar AI/testing tools
🔹 JIRA and Agile/Scrum
🔹 SQL and database validation
🔹 BDD with Cucumber/Gherkin
🔹 BrowserStack or cross-browser testing
🔹 Shift-left testing principles
🔹 Analytical thinking, debugging and problem-solving
🔹 Strong communication and collaboration skills
🎯 Expected Techjays Interview Rounds
Round 1 – Recruiter/HR Screening: Expect questions around your experience, notice period, location, current responsibilities, automation exposure and interest in AI testing.
Round 2 – QA Technical Interview: Be prepared for test-case design, defect lifecycle, regression strategy, API testing, Postman, SQL, Agile, Selenium/Playwright/Cypress and framework concepts.
Round 3 – AI Quality/Practical Assessment: This is where the JD can make the process different from a traditional QA interview. Expect practical thinking around chatbot/LLM testing, prompt variations, hallucination detection, response consistency, edge cases and AI feature validation.
Round 4 – Technical/Managerial Discussion: Your ownership, communication, problem-solving approach and ability to work with developers and product teams may be assessed. Recent Techjays interview reports show technical calibration and AI-focused assessments in some roles, including RAG/system-design discussions and coding assessments.
💰 Salary Range
Techjays does not appear to publish an official salary range for this particular vacancy. Public salary data currently shows approximately ₹3–4 LPA for QA Engineer and around ₹4 LPA for Software QA Engineer, while broader Techjays engineering roles can go higher depending on experience and specialization.
For a 2–5 year AI Quality Engineer, a reasonable market-oriented expectation could be around ₹4–8 LPA, with the actual package depending on AI testing experience, automation depth, interview performance and current compensation. This is an estimate, not an official Techjays salary figure.
🔥Preparation Tips
💡 Build an LLM testing mindset: Take a chatbot and create 20–30 prompts covering normal, ambiguous, adversarial, incomplete and contradictory inputs. Evaluate correctness, relevance, consistency, safety and hallucination.
💡 Combine UI + API testing: Practice a flow where Selenium/Playwright validates the interface while Postman validates the underlying API response.
💡 Prepare an AI regression strategy: Explain how you would determine whether a new model or prompt change improves or breaks existing functionality.
💡 Know prompt-testing terminology: Understand prompt variation, grounding, hallucination, context retention, response consistency, RAG and evaluation criteria.
💡 Demonstrate shift-left thinking: Explain how QA can participate during requirements and AI-feature design instead of waiting until development is complete.
📄Resume Tips
Make the resume immediately communicate “AI + QA + Automation.” Don’t simply write “Manual Tester.” Use a headline such as AI Quality Engineer | QA Automation | API & AI/ML Testing if it accurately reflects your experience.
Highlight AI/ML testing prominently if you have it. Mention specific work with LLMs, chatbots, recommendation engines, prompt testing or AI validation rather than hiding it under generic project descriptions.
Quantify achievements: “Automated 150+ regression scenarios,” “Reduced regression execution time by 40%,” or “Validated 20+ API endpoints.” Add Selenium/Playwright/Cypress, Postman, SQL, JIRA, Cucumber/Gherkin and BrowserStack where genuinely applicable.
📩 How to Apply
📩srikrishna.t@techjays.com
Send your updated resume to srikrishna.t@techjays.com.
Use the exact subject format:
Application – AI Quality Engineer – [Your Name] – [City] – [Years of Exp]
⚡ Since the opening specifies Immediate / ASAP joining, clearly mention your notice period and earliest joining date in the email or resume.
🚀 Final Takeaway
This Techjays opening is especially attractive for QA professionals who want to transition from conventional application testing toward AI Quality Engineering. The combination of LLM/AI testing, API validation, automation, prompt testing and modern QA practices can give your profile a valuable specialization in one of the fastest-evolving areas of software quality.
