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AI Engineer

6-8 Years
SGD 6,000 - 9,000 per month
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  • Posted 6 days ago
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Early Applicant

Job 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.

As an AI Engineer, you will design, build, and operate production-grade agentic and GenAI systems-end to end. You'll ship services (not just notebooks): robust APIs, reusable components, and secure pipelines that connect LLMs, tools, knowledge, and enterprise systems. You'll pair strong software engineering with modern AI practices (RAG, agent orchestration, policy chains, evals) to deliver measurable business outcomes at scale.

What you will do:

1. Agent & Application Engineering

  • Design multi-agent systems (MAS) with planning, tool-use, and delegation (e.g., LangGraph/Semantic Kernel) expose them via REST/gRPC APIs (FastAPI/Express/Java/Go).
  • Implement tool adapters (SQL, search, document stores, web calls, code exec) with strict type contracts and safe sandboxes.
  • Build model gateway integrations (OpenAI/Azure OpenAI/Bedrock/Vertex self-hosted vLLM/TGI) with routing, rate-limits, retries, and fallback chains.

2. Retrieval, Data & Knowledge

  • Stand up RAG services: chunking, enrichment, embeddings, indexing, hybrid/vector search (pgvector/Pinecone/Weaviate OpenSearch/Azure AI Search).
  • Implement ingestion pipelines (Airflow/Prefect/Celery/Ray) for docs, tickets, chat, and ERP/CRM data handle PII redaction and metadata governance.
  • Optimize retrieval quality (chunking strategies, re-rankers, query rewriting) with offline/online evaluation and A/B tests.

3. Quality, Testing & Evaluation

  • Treat prompts and graphs as code: version, diff, and test them (unit tests for prompts/tools golden sets regression suites).
  • Build evaluation harnesses (latency, cost, accuracy, toxicity, hallucination, guardrail hit-rates) wire into CI.
  • Add drift detection for conversational systems implement safe shutdown and auto-rollback.

4. Platform & Operations

  • Package services as containers deploy to Kubernetes with Helm/Argo CD configure autoscaling, HPA/VPA, and resource quotas.
  • Implement policy chains and guardrails (OPA/Gatekeeper for policy, Presidio for PII, Trivy for image scanning).
  • Instrument deep observability: tracing (OpenTelemetry), metrics (Prometheus), logs (ELK/OPENSEARCH), cost meters per request/model.

5. Security & Compliance

  • Manage secrets (HashiCorp Vault/KMS), signed images, SBOMs enforce least-privilege IAM.
  • Build tenant isolation and data residency controls implement red/blue team prompts and jailbreak defenses.

6. Integration & Enterprise Workflows

  • Ship connectors and events for SAP/CRM/ITSM and Kafka topics design idempotent, retry-safe processors.
  • Automate business workflows with pro-code services first expose low-code surfaces only where appropriate.

7. Collaboration & Leadership

  • Partner with Product, Data, and Platform teams to define SLAs/SLOs and success metrics.
  • Mentor engineers on AI as software practices run design reviews and postmortems.

The ideal candidate should possess:

  • 6+ years of software engineering experience with production-grade services
  • Strong proficiency in at least one systems language (Python, TypeScript/Node.js, Go, or Java)
  • Hands-on experience with containers, Kubernetes, CI/CD, Terraform, and major cloud platforms (Azure/AWS/GCP)
  • Practical experience building LLM applications, including RAG, agents, tool-use, and safety patterns
  • Competence in data engineering fundamentals: schemas, batch/stream processing, SQL, and vector databases
  • Experience implementing evaluation frameworks, automated testing, and prompt/graph versioning
  • Knowledge of security best practices-secrets, scanning, least-privilege IAM, compliance
  • Experience collaborating with cross-functional teams and mentoring engineers

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.

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Job ID: 135569989

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