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AI Full Stack Engineer
ICT
Company shared salary
NA
Market rate
RM5,500–RM8,000/mo (RM66,000–RM96,000/yr)
Based on similar roles (title + domain + location).
About the Company
General Information Req WD00103202 Career area: Hardware Engineering Country/Region: Malaysia State: Wilayah Persekutuan Kuala Lumpur City: Kuala Lumpur Date: Tuesday, August 18, 2026 Working time: Full-time Additional Locations: Malaysia Why Work at Lenovo 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.
About the Role
Summary- We are seeking a highly motivated Finance AI Full Stack Engineer to design, develop, and deploy AI-powered finance solutions for enterprise customers.
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.
- ● Design scalable microservice architectures.
- ● Integrate AI services into enterprise applications.
- ● Build secure and production-grade solutions.
- ● Design enterprise knowledge bases.
- ● Develop RAG pipelines.
- ● 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.
- ● AI Performance Optimization
- ● Hallucination Control, Latency, Cost Efficiency, User Experience
- ● Implement evaluation frameworks and testing methodologies.
- ● Participate in customer workshops.
Requirements
- ● -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
- ● Additional Locations:
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