[Hiring] Middle Python Developer @Hitachi Careers

Role Description

GlobalLogic is working on an advisory engagement to design an AI-powered search assistant for project documentation accumulated over roughly 20 years, currently stored on an isolated, internet-disconnected file server. The dataset spans 2-3 TB including test artifacts, with core documents in the 1-10 GB range and about half the volume in the legacy .xls format. The goal is to let developers and SMEs query specification documents in natural language and get answers assembled across multiple related customization projects, instead of manually tracing code history and cross-referencing documents by hand. The target architecture connects the document store (likely SharePoint) to a generative AI search layer, with NotebookLM as the initial reference point and enterprise alternatives such as Vertex AI Agent Builder under evaluation.

Qualifications

• 3+ years of commercial experience with Python, including work on data processing and ETL pipelines
• Experience parsing and transforming document formats (Excel including legacy .xls, PowerPoint, Word, PDF) using libraries such as pandas, openpyxl, xlrd, python-docx, python-pptx
• Experience with OCR technologies for extracting text from images and embedded objects (e.g. Tesseract, Google Vision API, Azure Computer Vision)
• Understanding of RAG (Retrieval-Augmented Generation) architectures, embeddings, and vector search
• Experience integrating with cloud storage and collaboration platforms via API (SharePoint / Microsoft Graph API or similar)
• Written and spoken English proficiency equivalent of B2 or higher
• Ability to work with incomplete requirements during an advisory and PoC phase
• Self-reliant, comfortable proposing and testing technical solutions with limited direction

Requirements

• Familiarity with NotebookLM, LangChain, LlamaIndex, or Vertex AI Agent Builder
• Experience designing incremental indexing or delta-update mechanisms for search systems
• Experience working with enterprise clients in isolated or air-gapped network environments

Job Responsibilities

• Design and implement a format-conversion pipeline for legacy files (.xls, .ppt) into AI-readable formats (.xlsx, PDF, or Markdown)
• Build extraction logic for unstructured data inside Excel files, including text in shapes via drawing-layer analysis and OCR processing of embedded images
• Develop and validate an incremental update mechanism so only new or changed files are reprocessed
• Implement data cleansing logic to exclude obsolete or duplicate files (marked "old", "BKUP") from search results
• Evaluate NotebookLM against alternative platforms (e.g. Vertex AI Agent Builder) and document findings to support the Advisory Phase comparison
• Build PoC search functionality supporting natural language queries across multiple customization specification documents

Benefits

• Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies.
• Empowering Growth: We foster a culture of continuous learning and professional development, providing timely and comprehensive assistance for every consultant through our dedicated Learning & Development team.
• DE&I Matters: We deeply value and embrace diversity, providing equal opportunities for all individuals and fostering an inclusive work environment.
• Career Development: Our corporate culture emphasizes career development, offering abundant opportunities for growth and regular interactions to ensure engagement and recognition.
• Comprehensive Benefits: We provide a comprehensive benefits package that prioritizes the overall well-being of our consultants.
• Flexible Opportunities: We prioritize work-life balance by offering flexible opportunities tailored to your lifestyle, including relocation and rotation options for diverse experiences.