AI Full Stack Engineer

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

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com , and read about the latest news via our StoryHub .

Description and Requirements

Summary- We are seeking a highly motivated Finance AI Full Stack Engineer to design, develop, and deploy AI-powered finance solutions for enterprise customers.

Key Responsibilities

• Design and develop end-to-end AI applications leveraging - Large Language Models (LLMs).
• Retrieval Augmented Generation (RAG).
• Multi-Agent Systems, Workflow Automation
• Develop front-end applications and user interfaces.
• Build backend services and APIs.
• Integrate AI services into enterprise applications.
• Build secure and production-grade solutions.
• Design enterprise knowledge bases.
• Build document processing and semantic search capabilities.
• Integrate structured and unstructured finance data.
• Design ontology and knowledge graph models for finance domains.
• Integrate AI applications with: o SAP ECC / S4HANA o Oracle ERP o Microsoft Dynamics o Data Platforms o Workflow Systems
• Develop APIs and middleware services.
• Enable real-time and batch integrations.

5. AI Performance Optimization

• Hallucination Control, Latency, Cost Efficiency, User Experience
• Implement evaluation frameworks and testing methodologies.
• Participate in customer workshops.
• Support solution demonstrations and PoCs.
• Translate business requirements into technical solutions.
• Drive end-to-end solution delivery.
• Participate in customer workshops.
• Support solution demonstrations and PoCs.
• Translate business requirements into technical solutions.
• Drive end-to-end solution delivery.

Qualification & Experience

• 3–6 years of hands-on full-stack software engineering experience, with proven delivery of production-grade LLM / Generative AI / Agent / RAG applications; POC-only experience is insufficient.
• Strong proficiency in Python and at least one modern frontend framework, such as React, Next.js, Vue or Angular.
• Practical experience integrating LLM APIs and building prompt-engineering, RAG, tool-calling or agent-based workflows, with a solid understanding of model limitations, hallucination risks, context management and output reliability.
• Hands-on experience developing backend services and APIs using frameworks such as FastAPI, Flask, Django, Node.js or equivalent, including authentication, authorization, error handling and asynchronous processing.
• Practical experience with data ingestion, document processing, embeddings, vector search and databases such as PostgreSQL, Elasticsearch or a vector database.
• Demonstrated experience delivering SaaS features across the full software-development lifecycle, including requirements clarification, technical design, implementation, testing, deployment, monitoring and production support

If you require an accommodation to complete this application, please [e-mail]