AI Solutions Engineer: Enterprise LLM & RAG Innovator

Singtel Group

Singapore

Vor Ort

SGD 90.000 - 150.000

Vollzeit

14 Tage+

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Zusammenfassung

Singtel Group is seeking an AI Solutions Engineer to design, build, and deploy enterprise AI solutions using LLMs, RAG, and AI Agents. You will develop production-ready AI apps that automate knowledge-intensive workflows and integrate with enterprise systems.

Join a team focused on secure, scalable, and trustworthy AI experiences, with opportunities to collaborate across product, engineering and business units.

Qualifikationen

  • Bachelor’s degree in a relevant field.
  • 3–5 years of software engineering experience with Python.
  • Hands-on experience building LLM apps, AI Agents or RAG.
  • Experience with LangChain, LangGraph, LlamaIndex or similar.
  • Experience integrating APIs, databases and enterprise systems.
  • Knowledge of vector databases and semantic search.

Aufgaben

  • Design, develop and deploy AI agents using LLMs, RAG and prompt engineering.
  • Build scalable AI workflows to automate business processes.
  • Translate business requirements into practical AI solutions.
  • Develop reusable prompt workflows and tool-calling capabilities.
  • Build and optimise RAG pipelines connected to enterprise sources.
  • Collaborate with product, engineering and business teams.

Kenntnisse

Python programming
LLM applications
RAG workflows
API integration
Vector databases
Git & CI/CD

Ausbildung

Bachelor's Degree in Computer Science, AI, Data Science or related

Tools

LangChain/LangGraph/LlamaIndex
APIs/Databases
Git & CI/CD
Docker/Kubernetes
Vector databases / semantic search
MLOps tooling

Jobbeschreibung

Singtel Group is seeking an AI Solutions Engineer to design, build, and deploy enterprise AI solutions using LLMs, RAG, and AI Agents. You will develop production-ready AI apps that automate knowledge-intensive workflows and integrate with enterprise systems.

Join a team focused on secure, scalable, and trustworthy AI experiences, with opportunities to collaborate across product, engineering and business units.

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