Senior AI Engineer

ScienTec Consulting; Singapore; Hybrid; SGD 90,000 - 132,000; Full time

Benefits offered by this job

Hybrid work arrangement

Comprehensive employee benefits

Job summary

ScienTec Consulting is hiring software engineers to design and build large-scale GenAI platforms, emphasizing modern search architectures and Generative AI capabilities.

You will work on scalable architectures, collaborate with tech leads to develop long-term strategies, and contribute to AI application development from prototype to production. Hybrid work arrangement is available, with comprehensive benefits.

Qualifications

• Bachelor's degree in IT or related discipline is required.
• Experience with NodeJS, TypeScript, and cloud platforms (AWS/Azure/GCP).
• Knowledge of LLMs, RAG architectures, and AI governance practices is essential.

Responsibilities

• Design scalable, secure, and resilient architectures for AI-powered web applications.
• Plan technical spikes and long-term strategy leveraging LLM integrations, RAG, and semantic search.
• Involve in experimentation, prototype development, and production-ready AI applications.
• Collaborate with cross-functional teams including Product Owners, Business Analysts, UX Designers, QA and DevOps.

Skills

NodeJS

TypeScript

Cloud platforms

LLMs

RAG architectures

AI governance & security

Education

Bachelor's degree in IT or related field

Job description

• Delivering a modern GenAI platform to whole-of-government
• Hybrid work arrangement
• Innovative and team-oriented work culture

We are hiring for a group of Software Engineer to design and build large-scale GenAI platforms, incorporating modern search architectures and Generative AI capabilities.

• Salary up to $11k + AWS, with comprehensive employee's benefits

Responsibilities:

1. Design scalable, secure, and resilient architectures for search and AI-powered web applications
2. Collaborate with Tech Leads to plan technical spikes and long-term technical strategy by leveraging LLM Integrations, Retrieval-Augmented Generation (RAG), Semantic Search, etc
3. Involve in experimentation-prototype-production ready AI application development
4. Work closely with cross-functional team such as Product Owners, Business Analysts, UX Designers, QA and DevOps

Requirements:

• min. Degree in any IT relevant discipline
• Strong experience in NodeJS, TypeScript, Cloud platforms (AWS / Azure / GCP)
• Experience in LLMs and RAG architectures
• Understanding of AI system governance, security, and responsible AI practices