Role Summary:

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.

What you'll do & how you'll make your mark.

1. AI/LLM Quality Engineering

- Design, validate, and optimize 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 Optimization strategies.
- Evaluate latency, token usage, model cost optimization, throughput, and scalability.

2. Automation Engineering

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

3. 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 ChromaDB Qdrant FAISS
- Build or validate AI agents leveraging: Lang Chain, Lang Graph, CrewAI, Auto Gen, Semantic Kernel OpenAI SDKs
- Validate AI workflows involving:



Tool calling Function calling Agent memory Agent planning/execution Multi-modal AI systems Structured outputs

4. Dev Ops, Observability & Reliability

- Build and maintain quality workflows integrated with: Git Hub Actions Jenkins Git Lab CI/CD Azure 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 behaviors using observability platforms/logging/tracing tools.
- Contribute to shift-left and quality engineering best practices.

Who you are & what you'll need to succeed.

- Bachelor’s/Master’s degree in Computer Science, Engineering, AI/ML, or related field preferred.
- Equivalent hands-on experience and demonstrated projects are highly valued.
- Strong programming experience in Python
- Strong understanding of Software Testing & Quality Engineering principles
- Hands-on experience with: AI/LLM testing Prompt Engineering Context Engineering AI Evals RAG systems AI Agents
- Experience with: CI/CD pipelines Docker & Kubernetes Cloud platforms (AWS/Azure/OCI/GCP) API testing & automation Microservices testing UI automation
- Experience with SQL and data validation
- Strong debugging, analytical, and troubleshooting skills
- Experience working in Agile/Scrum environments

Good to have skills:

- Experience with Robot Framework
- Experience with Playwright
- Knowledge of: Lang Chain, Lang Graph, Llama Index CrewAI Semantic Kernel MCP (Model Context Protocol)
- Hands-on experience with: Cursor Git Hub 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

Bonus Skills (High Impact)

- AI Red Teaming
- LLM Security Testing (Prompt Injection, Jailbreaks, Data Leakage)
- Agent Reliability & Safety Testing
- AI Cost Optimization
- 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)

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

Why you'll love us.

- 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 significant 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 are a family, and we care about you and your family’s physical and mental health by providing competitive HMO benefits – 175k MBL with one free dependent upon one year of service! We also give out Punctuality Bonus, Generous Vacation policy, and much more!

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