AI Engineer-PA-OFFSHORE-AUTO-Q1.25-R001

2 weeks ago

Pune, India SS&C Technologies Holdings Full time

Job Description Job Summary: We are seeking an experienced AI Developer with expertise in Python , Generative AI (GenAI) with Retrieval-Augmented Generation (RAG) , Robotic Process Automation (RPA) , and advanced document intelligence using OCR and LLMs . This role involves designing AI-powered solutions that extract meaningful insights from complex documents—both digital and scanned—using tools like Tesseract, Hugging Face Transformers or similar. You will work on end-to-end automation and AI integration for intelligent document processing, enabling smarter decisions and workflow efficiencies across the organization. Key Responsibilities: Build and deploy GenAI solutions with RAG pipelines to enable intelligent querying and summarization over document repositories. Extract and structure data from complex documents (PDFs, Images etc) using a combination of OCR engines (e.g., Tesseract) and AI-based document and vision language models(DiNO, SmolVLM etc). Integrate OCR+LLM pipelines into business applications to process scanned forms, contracts, and other unstructured documents. Automate repetitive, document-intensive tasks using RPA tools (e.g., Blue Prism  etc). Design and maintain Python-based workflows to orchestrate document ingestion, extraction, and LLM-powered processing. Work cross-functionally with product, data, and operations teams to deliver scalable, AI-enhanced document automation solutions. Ensure model performance, compliance, and audit readiness for all document-handling workflows. Required Qualifications: 4+ years of hands-on programming experience with Python . Strong experience building RAG-based GenAI applications using tools like LangChain , LlamaIndex , or equivalent. Proficient in OCR tools (e.g., Tesseract, PaddleOCR) and transformer-based document models . Experience working with LLMs for document understanding, summarization, and Q&A. Proficiency in RPA development using platforms like Blueprism etc. Knowledge of vector databases (e.g., FAISS, Pinecone) and embeddings for semantic retrieval. Strong understanding of REST APIs, JSON, and data integration workflows.

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