AI Full Stack Engineer

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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).

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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 contactability@lenovo.com