AI Engineer: Build AI-Powered Products & Agents (Hybrid)

Nas Company

Singapore

Hybride

SGD 90 000 - 130 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Medical Insurance
Self Care/Wellness Fund
Mental Health Fund
Yearly Retreats
Stock Options/Profit share

Résumé du poste

Nas.com is looking for an AI Engineer to design, build, and deploy AI-powered products across LLMs, AI agents, automation, and backend services. You will create experiences that delight users and dramatically increase team productivity, working hands-on in a fast-paced environment.

You will collaborate with Product, Design, and Engineering to ship high-impact features and continuously monitor AI systems in production, leveraging the latest AI technologies and APIs from leading providers.

Qualifications

  • : 3+ years of software engineering experience.

Responsabilités

  • Design, build, and deploy AI-powered products and features.
  • Develop AI agents and workflow automations using modern LLMs.
  • Integrate APIs from providers such as OpenAI, Anthropic, Google, and other AI platforms.
  • Build reliable backend services that support AI applications.
  • Optimize prompts, retrieval systems (RAG), tool calling, and agent performance.
  • Evaluate new AI models and technologies and rapidly prototype new ideas.
  • Collaborate closely with Product, Design, and Engineering to ship high-impact features.
  • Monitor, improve, and maintain AI systems in production.

Connaissances

Python
JavaScript/TypeScript
LLMs
prompt engineering
embeddings
vector databases
RAG architectures
REST APIs
cloud platforms
English communication

Outils

AWS
GCP
Azure
LangGraph
LangChain
LlamaIndex

Description du poste

Nas.com is looking for an AI Engineer to design, build, and deploy AI-powered products across LLMs, AI agents, automation, and backend services. You will create experiences that delight users and dramatically increase team productivity, working hands-on in a fast-paced environment.

You will collaborate with Product, Design, and Engineering to ship high-impact features and continuously monitor AI systems in production, leveraging the latest AI technologies and APIs from leading providers.

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