Software Development Engineer in Test - AI
Newfold Digital (company site, opens in a new tab)RemoteDirect career pageEst. 12–22 LPA
Posted 21h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and optimize testing strategies, automation frameworks, and AI evaluation tools for AI-powered applications, LLM-driven workflows, and autonomous AI agents.
- Collaborate across Engineering, AI/ML, Platform, Product, and DevOps teams to ensure reliability, safety, scalability, and observability of AI-native systems.
- Integrate AI testing and quality workflows into CI/CD pipelines and validate AI components including RAG architectures, vector databases, and multi-modal AI systems.
Minimum Requirements
- Strong programming experience in Python.
- Experience with AI/LLM testing, Prompt Engineering, RAG systems, and AI Agents.
- Familiarity with CI/CD pipelines, Docker, Kubernetes, cloud platforms (AWS/Azure/OCI/GCP), API testing, automation, and microservices testing.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in both traditional Quality Engineering and modern AI-native testing approaches, with a focus on intelligent and scalable automation.
- Ability to rapidly learn and experiment with emerging AI frameworks, tools, and architectures including AI agents and autonomous systems.
- Portfolio signals such as GitHub projects on AI/automation, contributions to open-source AI or testing ecosystems, or building AI copilots/agents.