AI Full-Stack Engineer for Enterprise Finance Solutions

Lenovo; Kuala Lumpur; On-site; MYR 180,000 - 300,000; Full time

Job summary

Lenovo in Kuala Lumpur is seeking a highly motivated Finance AI Full Stack Engineer to design, develop, and deploy AI-powered finance solutions for enterprise customers.

You will design end-to-end AI applications leveraging LLMs, RAG, and multi-agent workflows, build front-end interfaces, and develop robust backend services and APIs. Strong Python and frontend skills, with SaaS delivery experience, are essential.

Qualifications

• 3–6 years of hands-on full-stack software engineering delivering production-grade LLM/Generative AI/Agent/RAG apps.
• Proficient in Python and at least one modern frontend framework (React, Next.js, Vue or Angular).
• Experience integrating LLM APIs, prompt-engineering, RAG, tool-calling and agent workflows.
• Backend services & APIs using FastAPI/Flask/Django/Node.js with auth and async processing.
• Data ingestion, document processing, embeddings and vector search with PostgreSQL/Elasticsearch.

Responsibilities

• Design and develop end-to-end AI applications leveraging LLMs
• Implement Retrieval Augmented Generation and multi-agent systems
• Build front-end interfaces and robust backend services & APIs
• Integrate AI services into enterprise apps and ensure security
• Design ontology/knowledge graphs and support production deployments
• Collaborate with customers and deliver SaaS features across the lifecycle

Skills

Full-stack engineering

Python

Frontend framework

LLM APIs integration

RAG & agents

Backend services

Authentication/Authorization

Embeddings/Vector search

Cloud deployment

SaaS delivery

Tools

FastAPI

Flask

Django

Node.js

PostgreSQL

Elasticsearch

Vector DB

Job description

Lenovo in Kuala Lumpur is seeking a highly motivated Finance AI Full Stack Engineer to design, develop, and deploy AI-powered finance solutions for enterprise customers.

You will design end-to-end AI applications leveraging LLMs, RAG, and multi-agent workflows, build front-end interfaces, and develop robust backend services and APIs. Strong Python and frontend skills, with SaaS delivery experience, are essential.