ironquill.tech/board

$ cat jobs/generative-ai-automation-lead-generative-ai-ai-agents-for-te-kmstechnology1-c47eecf35aaf.json

Generative AI Automation Lead (Generative AI & AI Agents for Test Automation)

Kmstechnology1·Worldwide·Ho Chi Minh City, VN·senior
llmci/cd
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KMS Technology is a strategic engineering company helping businesses turn bold ideas into high-impact solutions—faster. Founded in 2009 as a U.S.-based services company, we’ve grown into a global organization with locations in the US, Vietnam, Mexico and Poland. KMS is trusted globally for the quality of our engineering and consulting services. We bring deep expertise in product development and quality assurance, Data & AI-native engineering, and delivery excellence to every engagement. Our mission is to help customers build what’s next—accelerating innovation, crafting brilliant solutions, and creating real-world impact. At KMS, we believe sustainable growth is built on the success of our clients and employees, and in making a lasting contribution to our communities. More about KMS Technology: Website: https://kms-technology.com Linkedin: https://www.linkedin.com/company/kms-technology We are looking for a Lead Generative AI for Automation Test to design, build, and maintain intelligent agents that support and automate software testing activities. You will own agentic workflows across test-case generation, automation-script creation, execution, validation, failure analysis, self-healing, and continuous test maintenance. The role integrates AI agents with application knowledge, automation tools, APIs, databases, and CI/CD pipelines to enable reliable end-to-end testing, and sets the technical direction for how agentic quality engineering is delivered across teams. Key Responsibilities Design and develop autonomous and multi-agent workflows for test automation. Build AI agents using LLMs, prompt engineering, RAG, tool calling, and MCP-based integrations. Develop agents for test generation, code creation, validation, debugging, failure triage, and self-healing. Integrate agents with UI, API, database, and end-to-end testing workflows. Define agent instructions, guardrails, validation checkpoints, and human-in-the-loop review processes. Monitor and improve agent accura

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