Lead Full-Stack Engineer, GenAI Platform

FPT Asia Pacific Pte Ltd

Singapore

On-site

SGD 120,000 - 190,000

Full time

2 days ago

Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Job summary

FPT Asia Pacific Pte Ltd is seeking an experienced Full-Stack Software Engineer (GenAI Platforms) to lead the development of a large-scale, AI-powered chat platform in Singapore. You will design and deliver scalable, secure applications that integrate modern search technologies and Generative AI capabilities.

The role involves hands-on development, architectural decisions, and mentoring engineers to ensure production-ready solutions.

Qualifications

5–7 years of web application development experience.
Proven ability to lead Agile software teams.
Hands-on development with Node.js and TypeScript.
Experience with Azure, AWS or GCP.
Strong SQL and NoSQL database knowledge.
Experience with CI/CD pipelines and DevOps.
Experience with search solutions including crawling, indexing, ranking.
Hands-on with semantic search, vector databases, and RAG.
Proven experience integrating LLMs into production apps.
Knowledge of AI governance and secure software practices.

Responsibilities

Provide technical leadership to an agile, cross-functional development team.
Define and communicate technical direction across multiple development workstreams.
Design scalable, secure architectures for AI-powered applications and search platforms.
Make architectural decisions balancing performance, cost, reliability, and security.
Identify technical risks and implement appropriate mitigation strategies.
Collaborate with technical leads on long-term technology strategies and system improvements.
Design and develop applications integrating Large Language Models (LLMs) and search technologies.
Implement Retrieval-Augmented Generation (RAG) architectures and semantic search capabilities.
Guide AI solutions from proof of concept through production deployment.
Evaluate emerging AI technologies and assess their suitability for enterprise applications.
Implement responsible AI practices, including data governance and security controls.