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 DevOps 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, BigRock, ResellerClub, CrazyDomains, HostGator, 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 detectionGroundednessToxicity & bias validationResponse qualityContext relevancePrompt regression testingDeterminism & consistencySafety 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 systemsStreaming systemsWebhooksMicroservicesMFE (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 strategiesEmbedding qualityRetrieval accuracyRe-rankingVector search relevance
Work with vector databases such as:PineconeWeaviateChromaDBQdrantFAISS
Build or validate AI agents leveraging:LangChainLangGraphCrewAIAutoGenSemantic KernelOpenAI SDKs
Validate AI workflows involving:Tool callingFunction callingAgent memoryAgent planning/executionMulti-modal AI systemsStructured outputs

DevOps, Observability & Reliability

Build and maintain quality workflows integrated with:GitHub ActionsJenkinsGitLab CI/CDAzure DevOps
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 testingPrompt EngineeringContext EngineeringAI EvalsRAG systemsAI Agents
Experience with:CI/CD pipelinesDocker & KubernetesCloud platforms (AWS/Azure/OCI/GCP)API testing & automationMicroservices 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:LangChainLangGraphLlamaIndexCrewAISemantic KernelMCP (Model Context Protocol)
Hands-on experience with:CursorGitHub CopilotClaudeGeminiOpenAI 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:

GitHub 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 environment.

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, LinkedIn learning, Referral Program Bonus, F5 extra days off, Annual Bonus, and an opportunity to work on Global projects with Multicultural team.

Where can we take you We're fans of helping our employees learn different aspects of the business, be challenged with new tasks, be mentored, and grow their careers. Unfold new possibilities with #teamnewfold!

AI - Software Development Engineer in Test (AI - SDET)