Our rates depend on seniority and tech stack expertise, such as Django or Flask. We offer transparent pricing models to fit your budget. While we don't use the 56 test Faq standard, our cost-efficiency ensures you get top-tier backend talent without hidden fees.

Absolutely. We sign strict NDAs and transfer full IP rights to you upon payment. Whether building Machine Learning models or secure APIs, your proprietary code and data remain 100% yours, ensuring total legal protection and peace of mind throughout the development lifecycle.

We align our Python engineers with your working hours to ensure real-time collaboration. Whether you need overlap for daily stand-ups or asynchronous progress on Data Science tasks, our developers adjust their schedules to integrate seamlessly with your in-house team's agile workflow.

We offer flexible engagement models, including monthly retainers and hourly billing. You can scale your Python backend team up or down based on project demands. Our agreements are straightforward, allowing you to focus on coding and deployment rather than complex legal paperwork.

Our rigorous process includes algorithmic challenges and framework-specific assessments in libraries like NumPy or Pandas. We evaluate problem-solving abilities and clean code practices to ensure every candidate is a senior-level expert capable of delivering robust, scalable software solutions from day one.

We provide a risk-free trial period. If a developer doesn't meet your expectations regarding PyTorch proficiency or cultural fit, we offer an immediate replacement at no extra cost. Your satisfaction with our staff augmentation service is our priority for long-term project success.

We maintain a pre-vetted pool of talent ready to deploy. Typically, we can onboard engineers skilled in FastAPI or automation scripting within 3 to 5 business days. This rapid deployment allows you to accelerate your time-to-market without enduring traditional recruitment delays.