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Popular automation title but seniority and AI specialization produce medium competition.
Automation and API skills transfer across industries, but LLM and platform specialization increase domain sensitivity.
Explicit 8+ years plus mandatory automation, API, cloud, and LLM skills implies high shortlisting strictness.
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Design, build, and deploy AI-driven platform capabilities enabling automation, intelligent insights, and advanced decision-making.
Drive innovation and integration of generative AI features into platform services including prompt engineering and retrieval-augmented generation.
Develop and maintain scalable test automation frameworks and integrate automated testing into CI/CD pipelines to ensure system reliability and AI feature validation.
Minimum 8 years of experience in software engineering, quality engineering, or platform engineering with AI-enabled system experience.
Proven expertise in generative AI and LLM integration including prompt engineering and AI workflow orchestration.
Strong programming skills in at least two of: Python, Java, JavaScript, or C#.
Experience with automation testing tools (e.g., Playwright, Selenium, Cypress), API testing (e.g., Postman, REST Assured), and cloud platforms (AWS, GCP, or Azure).
Experienced engineer comfortable leading technical efforts that combine AI system development with automation and quality engineering.
Skilled in collaborating across engineering, product, data, and platform teams to translate complex AI requirements into scalable, production-ready solutions.
Familiar with AI model evaluation, vector databases, and embedding technologies, ensuring reliable and ethical AI platform delivery.