GenAI Systems Engineer - Production & Agents

Newbridge

Kuala Lumpur

On-site

MYR 380,000 - 571,000

Full time

5 days ago
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Job summary

Newbridge is expanding its Data & AI practice with a hands-on GenAI Engineer role in Singapore. You will work under the Lead AI Architect to take enterprise use-cases from design to production, owning how it gets built, deployed, governed and operated.

You’ll join a senior team and collaborate with global Data & AI teams to deliver scalable GenAI solutions, including multi-agent workflows, RAG pipelines, and secure, observable architectures.

Qualifications

  • 2+ years shipping production GenAI systems in software/data/ML roles.
  • Strong Python, API development, microservices, cloud-native engineering.
  • Hands-on with RAG pipelines and vector DBs.
  • Experience with agentic frameworks: LangGraph, CrewAI, AutoGen, LangChain, Semantic Kernel.
  • Experience with managed AI platforms: Azure OpenAI Foundry, AWS Bedrock, GCP Vertex AI.
  • Understanding of LLM fundamentals: prompting, tool use, evaluation, latency and cost.
  • Comfortable in consulting/client-facing environments.

Responsibilities

  • Build Production GenAI & agent-first systems from design to production.
  • Own RAG pipelines and knowledge layer implementation.
  • Model integration across frontier/open-weight models and platforms.
  • Ensure security, governance, observability, and CI/CD for AI systems.

Skills

Python
API development
Microservices
Cloud-native
LLM fundamentals
Prompting
Context management

Tools

Pinecone
Weaviate
pgvector
Azure AI Search
LangGraph
CrewAI
AutoGen
LangChain

Job description

Newbridge is expanding its Data & AI practice with a hands-on GenAI Engineer role in Singapore. You will work under the Lead AI Architect to take enterprise use-cases from design to production, owning how it gets built, deployed, governed and operated.

You’ll join a senior team and collaborate with global Data & AI teams to deliver scalable GenAI solutions, including multi-agent workflows, RAG pipelines, and secure, observable architectures.

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