Job Description

Company Description
NCS is a leading technology services firm that operates across the Asia Pacific region in over 20 cities, providing consulting, digital services, technology solutions, and more. We believe in harnessing the power of technology to achieve extraordinary things, creating lasting value and impact for our communities, partners, and people. Our diverse workforce of 13,000 has delivered large-scale, mission-critical, and multi-platform projects for governments and enterprises in Singapore and the APAC region.

What you will do:
As a LLM / AI Quality Engineer, you will lead the end-to-end evaluation of AI applications-LLM features, RAG systems, and multi-agent workflows-to ensure they meet business outcomes, safety requirements, and platform standards. Own test design, execution, and reporting across offline, pre-prod, and in-prod stages, integrating with CI/CD and working closely with product, data, and platform teams.
1) AI/LLM Evaluation & Test Design

• Define evaluation strategies (golden sets, adversarial suites, regressions), pass/fail gates, and SLOs for quality, safety, latency, and cost.
• Establish rubric-based human reviews (usefulness, faithfulness, safety, clarity) and calibrate annotators.
• Instrument LLM-as-judge where appropriate with calibration and spot checks.

2) RAG, Retrieval, & Grounding

• Measure retrieval precision/recall, MRR/nDCG, and answer faithfulness to sources; detect hallucination and citation errors.
• Test chunking, prompt templates, filters, and policy chains; monitor stale/poisoned content.

3) Agentic & Tool-Use Scenarios

• Validate multi-step plans, tool selection, error recovery, retries, and idempotency for functions with side effects.
• Contract-test JSON schemas and structured outputs across services.

4) Non-Functional, Performance & Cost

• Run token-aware load/soak tests (context length, temperature, batching); track p50/p95/p99, throughput, timeouts, cache hit rate, and cost per successful task.
• Recommend optimizations (prompt/policy changes, retrieval tweaks, caching).

5) Security, Privacy & Safety

• Red-team for prompt injection, data exfiltration, indirect injections via retrieved content; validate guardrails pre/post inference.
• Enforce PII controls, data-residency, and compliance checks; align with organizational security testing practices.

6) Observability & CI/CD Integration

• Implement prompt/dataset/version lineage and trace-based evals; automate in CI (pre-merge golden tests, nightly adversarials) with canary/A-B in prod and rollback criteria.
• Produce clear, decision-ready reports with risk assessments and release recommendations.

7) Project Delivery & Collaboration

• Analyze requirements, enhance test plans with additional cases, prepare environments (including cloud), execute tests per plan, and drive defect resolution.
• Provide regular status updates; manage test activities to schedule; support SIT/UAT and production readiness.

8) Performance, API & Platform Testing (Carry-over)

• Execute API, performance, and load testing for microservices/web services that underpin AI features; integrate automated testing into CI/CD.

9) Team & Standards

• Adopt and improve test standards/methodology; share practices, train teams, participate in peer reviews, and pursue self-directed learning.

Qualifications
The ideal candidate should possess:

• 3+ years in software testing/QA with strong test methodology and tooling; hands-on API testing and performance testing.
• Programming familiarity (e.g., Python/TypeScript) and experience with CI/CD and version control.
• Cloud basics (AWS/Azure/GCP) and microservices fundamentals.
• Degree/Diploma in CS/IT or equivalent.

Preferred (AI/ML Focus)

• Understanding of ML concepts and MLOps; experience with model validation and monitoring in production.
• Experience with AI-specific security testing and vulnerability assessment.
• Familiarity with evaluation/observability tools (any of): LangSmith, Weights & Biases, RAGAS, TruLens, Promptfoo, DeepEval, Guardrails/LlamaGuard, Presidio; plus OpenTelemetry-style LLM traces.
• Practical exposure to Azure OpenAI/Bedrock/Vertex and model gateways; quota & token accounting know-how.

Tooling & Automation

• Modern automation frameworks (e.g., Playwright, Cypress, Selenium), API test tools (Postman/REST Assured), performance tools (k6/JMeter), and CI/CD integration.
• Data evaluation pipelines for RAG (embedding validation, filtering, drift detection).

Traits

• Outcome-oriented, high standards; strong communication and collaboration; customer-focused; proficient in written and spoken English.

Telco Context (Nice-to-Have)

• Experience testing copilots/agents for BSS/OSS, NOC analytics, and enterprise care; ability to tie eval KPIs to CSAT, AHT, FCR, MTTR.

Additional Information
Why Join NCS
Lead high-impact Data & AI advisory programs for major enterprises and public sector clients.
Shape enterprise strategies and governance frameworks that drive real transformation.
Work with a talented, multidisciplinary team in a collaborative environment.
Competitive compensation and strong professional development support.
We are driven by our AEIOU beliefs-Adventure, Excellence, Integrity, Ownership, and Unity-and we seek individuals who embody these values in both their professional and personal lives.
We are committed to our Impact: Valuing our clients, Growing our people, and Creating our future.
Together, we make the extraordinary happen.
We are driven by our AEIOU beliefs-Adventure, Excellence, Integrity, Ownership, and Unity-and we seek individuals who embody these values in both their professional and personal lives. We are committed to our Impact: Valuing our clients, Growing our people, and Creating our future.
Together, we make the extraordinary happen.
Learn more about us at ncs.co and visit our LinkedIn career site.

Skills Required