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CUBE
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About CUBE
CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry-leading SaaS solutions are trusted by the world’s top financial institutions globally.
In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. We’re a fast-paced, high-performing team that thrives on pushing boundaries—continuously evolving our products, services, and operations. At CUBE, we don’t just keep up we stay ahead.
Job posts (1)
Explore Exciting Fresher & Experienced Roles at CUBE
Posted August 25, 2026 · 1 role
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Explore Exciting Fresher & Experienced Roles at CUBE
Posted August 25, 2026 · 1 role
Software Engineer
ExperiencedData / AI / ML
Bengaluru, Bangalore, Karnataka, India2-3 years of Python development experience
Skills
PythonFastAPIDjangoAI/MLGenerative AILLMScrapyPlaywrightNLPOpenAIClaudeGeminiLlamaLangChainLlamaIndexREST APIsasynchronous programmingCeleryRabbitMQKafkaHTMLXMLPDFBeautifulSouplxmlPyMuPDFdata structuresalgorithmsPostgreSQLvector databases
Qualification
- 2-3 years of Python development experience with FastAPI, Django, or similar frameworks.
- Strong experience in AI/ML, Generative AI, or LLM application development.
- Experience with web scraping frameworks such as Scrapy or Playwright.
- Hands-on experience with NLP, document processing, or information extraction techniques.
- Experience integrating LLMs (OpenAI, Claude, Gemini, Llama, or similar) using frameworks like LangChain or LlamaIndex.
- Strong knowledge of REST APIs, asynchronous programming, and distributed task processing (Celery, RabbitMQ, Kafka).
- Experience parsing HTML, XML, and PDF documents using BeautifulSoup, lxml, or PyMuPDF.
- Strong understanding of data structures, algorithms, and scalable data processing.
- Experience with PostgreSQL, vector databases, or search platforms such as OpenSearch/Elasticsearch.
- Experience with Docker, CI/CD, cloud platforms (AWS/Azure/GCP), and application monitoring.
- Nice to Have:
- Experience with RAG (Retrieval-Augmented Generation) architectures.
- Knowledge of vector databases such as Pinecone, Weaviate, Milvus, or pgvector.
- Experience with Hugging Face Transformers, PyTorch, or TensorFlow.
- Exposure to MLOps tools such as MLflow, Kubeflow, or model serving frameworks.
- Experience with Kubernetes and cloud-native deployments.
- Knowledge of OCR, computer vision, or multimodal AI models.
Skills Required
- Design, develop, and maintain scalable AI-powered data ingestion and processing platforms using Python.
- Build intelligent data pipelines, web crawling solutions, and AI/ML services that process structured and unstructured data while ensuring scalability, performance, and reliability.
Roles & responsibilities
- Design and develop web crawling, data ingestion, and AI-powered processing solutions using Python.
- Build scalable data pipelines for processing HTML, PDF, and other structured/unstructured data sources.
- Develop REST APIs to support AI/ML services and data processing workflows.
- Implement AI/ML models or integrate LLMs for document parsing, classification, summarization, and information extraction.
- Design and optimize background processing, task scheduling, and distributed workloads.
- Build monitoring, logging, and observability for AI pipelines and backend services.
- Collaborate with Product, Data Science, DevOps, and Engineering teams to deliver production-ready AI solutions.