CUBE Hiring 2026 | Software Engineer | Bangalore | 2–3 Years | Apply Now
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CUBE Hiring – Software Engineer Opportunity
CUBE is hiring for the position of Software Engineer in Bangalore, India. This is a full-time opportunity for candidates with 2–3 years of Python development experience and strong knowledge of Artificial Intelligence, Machine Learning, Generative AI, Large Language Models, web scraping, document processing, and scalable software development.
The selected candidate will work on AI-powered applications, backend systems, data processing pipelines, LLM integrations, APIs, web scraping, document processing, and cloud-based software solutions.
About CUBE
CUBE is a technology company building software solutions that combine data, automation, and artificial intelligence. The Software Engineer role provides an opportunity to work across backend engineering, AI/ML, Generative AI, document processing, data extraction, and scalable application development.
Job Details
Company Name: CUBE
Position: Software Engineer
Department: Technology – Software Engineering
Job Type: Full-Time
Location: Bangalore, India
Experience: 2–3 Years
Salary: Not Disclosed
Eligibility Criteria
- 2–3 years of Python development experience.
- Experience with FastAPI, Django, or similar backend frameworks.
- Strong experience in AI/ML, Generative AI, or LLM application development.
- Hands-on experience with web scraping and document processing.
- Experience integrating LLMs such as OpenAI, Claude, Gemini, or Llama.
- Strong understanding of REST APIs and asynchronous programming.
- Knowledge of distributed task processing.
- Understanding of data structures and algorithms.
- Knowledge of scalable data processing.
- Experience with PostgreSQL, vector databases, or search platforms.
- Experience with Docker and CI/CD.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Experience with application monitoring and production systems.
- RAG, Kubernetes, MLOps, OCR, or multimodal AI experience is preferred.
Job Description
CUBE is looking for a Software Engineer with strong Python and AI engineering skills to develop scalable software and AI-powered applications. The role combines backend development with Generative AI, LLMs, web scraping, document processing, data extraction, and cloud technologies.
The selected candidate will work on building backend services, integrating Large Language Models, developing data pipelines, processing documents, extracting information from web and structured data sources, and creating scalable production-ready applications.
Key Responsibilities
- Develop scalable backend applications using Python.
- Build APIs using FastAPI, Django, or similar frameworks.
- Develop AI and Machine Learning-powered applications.
- Build and integrate Generative AI and LLM-based solutions.
- Integrate LLMs such as OpenAI, Claude, Gemini, or Llama.
- Develop Retrieval-Augmented Generation (RAG) applications.
- Implement web scraping solutions using Scrapy, Playwright, or similar technologies.
- Process and extract information from HTML, XML, and PDF documents.
- Work with document processing and NLP pipelines.
- Use tools such as BeautifulSoup, lxml, and PyMuPDF for data extraction.
- Develop REST APIs and asynchronous applications.
- Work with Celery, RabbitMQ, Kafka, or similar distributed task-processing technologies.
- Design and work with PostgreSQL databases.
- Work with vector databases and search platforms.
- Develop and maintain scalable data-processing pipelines.
- Build and deploy applications using Docker and CI/CD pipelines.
- Work with AWS, Azure, or GCP cloud platforms.
- Monitor and troubleshoot production applications.
- Collaborate with engineering and AI/ML teams.
- Contribute to application performance, reliability, and scalability.
Key Skills Required
- Python
- FastAPI
- Django
- Artificial Intelligence
- Machine Learning
- Generative AI
- Large Language Models (LLMs)
- LangChain
- LlamaIndex
- Web Scraping
- Scrapy
- Playwright
- NLP
- Document Processing
- REST APIs
- Asynchronous Programming
- Celery
- RabbitMQ
- Kafka
- HTML / XML / PDF Parsing
- BeautifulSoup
- lxml
- PyMuPDF
- PostgreSQL
- Vector Databases
- OpenSearch
- Elasticsearch
- Docker
- CI/CD
- AWS
- Azure
- GCP
- RAG
- Hugging Face
- PyTorch
- TensorFlow
- Kubernetes
- MLOps
- OCR
- Computer Vision
AI & Generative AI Skills
- Artificial Intelligence
- Machine Learning
- Generative AI
- Large Language Models
- LLM Application Development
- LangChain
- LlamaIndex
- Retrieval-Augmented Generation (RAG)
- Hugging Face
- PyTorch
- TensorFlow
- NLP
- OCR
- Computer Vision
- Multimodal AI
Backend & API Development
- Python Backend Development
- FastAPI
- Django
- REST API Development
- Asynchronous Programming
- Distributed Task Processing
- Celery
- RabbitMQ
- Kafka
- Scalable Backend Architecture
Web Scraping & Document Processing
- Web Scraping
- Scrapy
- Playwright
- BeautifulSoup
- lxml
- HTML Parsing
- XML Parsing
- PDF Parsing
- PyMuPDF
- NLP
- Document Processing
- Data Extraction
Cloud & DevOps Skills
- Docker
- CI/CD
- AWS
- Azure
- Google Cloud Platform (GCP)
- Kubernetes
- MLOps
- Application Monitoring
- Production Deployment
Database & Search Technologies
- PostgreSQL
- Vector Databases
- OpenSearch
- Elasticsearch
- Data Processing
- Scalable Data Storage
Preferred Skills
- Experience building RAG applications.
- Knowledge of Kubernetes.
- Experience with MLOps practices.
- Knowledge of OCR technologies.
- Experience with Computer Vision.
- Experience with multimodal AI.
- Experience deploying AI applications to cloud platforms.
- Experience working with production-scale AI systems.
Selection Process
- Online Application
- Resume Screening
- Technical Assessment
- Python / Software Engineering Interview
- AI / ML / LLM Technical Interview
- Technical / Managerial Discussion
- HR Discussion
- Final Selection
The selection process may vary depending on CUBE's recruitment requirements.
Why Apply?
- Opportunity to work on AI-powered software products.
- Gain hands-on experience with Generative AI and LLMs.
- Work with modern Python backend frameworks.
- Build scalable APIs and distributed applications.
- Gain experience with web scraping and document processing.
- Work with RAG and LLM application development.
- Gain exposure to vector databases and search technologies.
- Work with Docker, CI/CD, Kubernetes, and cloud platforms.
- Develop skills in production-scale AI engineering.
- Work with modern AI/ML frameworks and technologies.
Who Should Apply?
- Software Engineers with 2–3 years of experience.
- Python Developers.
- Backend Developers.
- AI/ML Engineers.
- Generative AI Engineers.
- LLM Application Developers.
- Machine Learning Engineers with strong software development skills.
- Developers with web scraping and document processing experience.
- Developers experienced with FastAPI or Django.
- Candidates with RAG or LLM project experience.
- Engineers interested in AI-powered backend systems.
Important Note
This is a full-time Software Engineer opportunity based in Bangalore for candidates with 2–3 years of experience. Candidates should review the official CUBE application page for the latest eligibility criteria, job status, compensation, and recruitment details before applying.
How to Apply?
Interested and eligible candidates can apply for the CUBE Software Engineer position through the application link provided above.
Candidates should highlight relevant experience and projects involving Python, FastAPI, Django, AI/ML, Generative AI, LLMs, RAG, web scraping, document processing, REST APIs, PostgreSQL, cloud platforms, Docker, and CI/CD in their resume.
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Disclaimer
The recruitment details are based on the provided CUBE Software Engineer job information. Candidates should verify the latest eligibility criteria, experience requirements, compensation, job status, location, and application details on the official application page before applying.
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CUBE Hiring 2026 | Software Engineer | Bangalore | 2–3 Years | Apply Now
Meta Description
CUBE Hiring 2026 for Software Engineer in Bangalore. Candidates with 2–3 years of Python, AI/ML, Generative AI, LLM, RAG, FastAPI, web scraping, PostgreSQL, Docker, and cloud experience can apply.
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