This role goes beyond traditional QA; the ideal candidate should be capable of validating, evaluating, and improving AI-powered systems, agents, copilots, and LLM-driven workflows while building scalable automation frameworks and intelligent quality solutions. You will work closely with Engineering, AI/ML, Platform, Product, and Dev Ops teams to ensure reliability, safety, observability, scalability, and quality of modern AI-native applications and Agentic systems.

Who Are We.

Newfold Digital is a leading web technology company serving nearly seven million customers globally. Established in 2021 through the combination of leading web services providers Endurance Web Presence and Web.com Group, our portfolio of brands includes: Bluehost, Big Rock, Reseller Club, Crazy Domains, Host Gator, Network Solutions, Register.com, Web.com and many others.

We help customers of all sizes build a digital presence that delivers results. With our extensive product offerings and personalized support, we take pride in collaborating with our customers to serve their online presence needs.

Key Responsibilities

AI/LLM Quality Engineering

- Design, validate, and optimise testing strategies for AI-powered applications, copilots, chatbots, RAG pipelines, and autonomous AI agents.
- Develop AI evaluation (Evals) frameworks for: Hallucination detection Groundedness Toxicity & bias validation Response quality Context relevance Prompt regression testing Determinism & consistency Safety and guardrail validation
- Build automated validation pipelines for LLM outputs using structured assertions, semantic scoring, embeddings, and evaluation metrics.
- Create synthetic datasets and benchmark datasets for AI testing scenarios.
- Test multi-agent orchestration workflows and agent memory/context retention.
- Validate MCP (Model Context Protocol) integrations and tool interoperability.
- Work on Context Engineering, Prompt Engineering, and Prompt Optimisation strategies.
- Evaluate latency, token usage, model cost optimisation, throughput, and scalability.

Automation Engineering

- Develop and maintain scalable UI/API automation frameworks using: Python (mandatory)Robot Framework (preferred)Playwright/Selenium/Cypress
- Automate testing for:REST APIsGraphQL APIsEvent-driven systems Streaming systems Webhooks MicroservicesMFE (Micro Frontend) architectures
- Build reusable automation libraries, utilities, and AI-assisted testing workflows.
- Integrate automation into CI/CD pipelines and quality gates.

AI Engineering & Platform Validation

- Validate RAG architectures including: Chunking strategies Embedding quality Retrieval accuracy Re-ranking Vector search relevance
- Work with vector databases such as:



Pinecone Weaviate ChromaDBQdrantFAISS
- Build or validate AI agents leveraging: Lang Chain Lang Graph CrewAIAuto GenSemantic Kernel OpenAI SDKs
- Validate AI workflows involving: Tool calling Function calling Agent memory Agent planning/execution Multi-modal AI systems Structured outputs

Dev Ops, Observability & Reliability

- Build and maintain quality workflows integrated with: Git Hub Actions Jenkins GitLab CI/CDAzure Dev Ops
- Work with Docker and Kubernetes environments.
- Perform cloud-based testing and deployments across AWS/Azure/OCI/GCP.
- Validate distributed systems reliability and resiliency.
- Monitor AI system behaviour using observability platforms/logging/tracing tools.
- Contribute to shift-left and quality engineering best practices.

Required Skills

Must Have

- Strong programming experience in Python
- Strong understanding of Software Testing & Quality Engineering principles
- Hands-on experience with:AI/LLM testing Prompt Engineering Context EngineeringAI EvalsRAG systemsAI Agents
- Experience with:CI/CD pipelines Docker & Kubernetes Cloud platforms (AWS/Azure/OCI/GCP)API testing & automation Microservices testingUI automation
- Experience with SQL and data validation
- Strong debugging, analytical, and troubleshooting skills
- Experience working in Agile/Scrum environments

Preferred / Good to Have

- Experience with Robot Framework
- Experience with Playwright
- Knowledge of: Lang Chain Lang Graph Llama Index CrewAISemantic KernelMCP (Model Context Protocol)
- Hands-on experience with: Cursor GitHub Copilot Claude Gemini OpenAI APIs
- Experience with vector databases and embeddings
- Exposure to MLOps workflows and ML lifecycle testing
- Knowledge of performance testing and security testing
- Experience validating AI governance/compliance requirements
- Experience with contract testing, chaos testing, or resilience engineering
- Familiarity with accessibility testing and cross-browser/device testing
- Exposure to synthetic monitoring and production observability

What We’re Looking For

- Engineers who actively experiment with AI tools and build side projects, prototypes, PoCs, or open-source contributions.
- Strong problem solvers who can combine traditional QE practices with modern AI-native engineering approaches.
- Passion for innovation, developer productivity,



automation acceleration, and intelligent testing.
- Ability to rapidly learn emerging AI frameworks, tools, and architectures.

Nice Portfolio Signals

Candidates with one or more of the following will stand out:

- Git Hub repositories showcasing AI/automation projects
- AI agents or copilots built personally or professionally
- Contributions to open-source automation or AI ecosystems
- Blogs, talks, workshops, or technical content on AI/testing
- Experience integrating AI into SDLC or QE workflows
- Experience with autonomous testing systems or self-healing automation

Education

- Bachelor’s/Master’s degree in Computer Science, Engineering, AI/ML, or related field preferred.
- Equivalent hands-on experience and demonstrable projects are highly valued.

Bonus Skills (High Impact)

- AI Red Teaming
- LLM Security Testing (Prompt Injection, Jailbreaks, Data Leakage)
- Agent Reliability & Safety Testing
- AI Cost Optimisation
- Distributed Systems Testing
- Test Data Engineering
- Feature Flag Testing
- AI Observability & Telemetry
- Reinforcement Learning feedback workflows
- Human-in-the-loop evaluation systems
- Knowledge Graph integrations
- Multi-modal AI testing (vision/audio/text)

Why Join Us

- Work on cutting-edge AI-native platforms and autonomous systems.
- Opportunity to shape the future of AI Quality Engineering practices, as part of the COE.
- Collaborate with high-performing engineering and AI teams.
- Exposure to next-generation AI tooling, agents, and scalable cloud systems.
- Culture of innovation, experimentation, and continuous learning.

Why you’ll love us.

- We’ve evolved; we provide three work environment scenarios. You can feel like a Newfolder in a work-from-home, hybrid, or work-from-the-office setting.
- Work-life balance. Our work is thrilling and meaningful, but we know balance is key to living well.
- We celebrate one another’s differences. We’re proud of our culture of diversity and inclusion. We foster a culture of belonging. Our company and customers benefit when employees bring their authentic selves to work. We have programs that bring us together on important issues and provide learning and development opportunities for all employees. We have 20 + affinity groups where you can network and connect with Newfolders globally.
- We care about you. We provide excellent benefits from OSDE 310 Health Care, Monthly Salary Reviews, Tuition Reimbursement, Internet Reimbursement, In-company English Lessons, Linked In learning, Referral Program Bonus, F5 extra days off, Annual Bonus, and an opportunity to work on Global projects with Multicultural team.

📌 AI - Software Development Engineer in Test (AI - SDET) (India)
🏢 Newfold Digital
📍 India