Design and build scalable APIs and backend services powering the PrepAiro platform. Manage databases, authentication systems, payment integrations, content delivery pipelines, and cloud infrastructure. Collaborate with AI engineers to integrate machine learning models into production environments. Support platform scalability as the business expands across different exam categories and geographies. Ensure system reliability, performance optimization, security implementation, and efficient deployment practices across distributed backend services.

Develop and maintain enterprise Workday Adaptive solutions integrated with AWS data platforms. Design high-level architecture and ETL workflows for large-scale business reporting environments. Create and optimize data pipelines using Glue, Athena, EMR, Kinesis, Lambda and Redshift. Support batch and real-time integrations while ensuring data quality, performance and reliability. Collaborate with analytics and business teams to transform complex reporting requirements into scalable cloud solutions.

Build enterprise-grade backend applications, optimize PostgreSQL databases, integrate APIs and support deployment activities for scalable solutions.

Build application modules, support production systems, implement unit tests, solve business challenges and contribute to high-availability applications using Python frameworks.

Develop scalable backend applications, APIs, database integrations, security modules, monitoring tools and business workflows. Collaborate with product and engineering teams, write maintainable code, optimize performance and support feature delivery.

Program structure Track: Research Reports to: Lead research scientist, EOS Stochastic Models team Duration: 16-24 weeks, full-time preferred Primary languages: Python (NumPy, SciPy, JAX or PyTorch), some Cython for hot paths Outcome: A reproducible workload generator and a published technical note on tail-risk estimators for AI workloads Compensation: stipend per internal scale; conversion to full-time considered for strong performers. Mentorship: each intern is paired with a senior engineer or.

Program structure Track: Research engineering Reports to: Staff research engineer, EOS Intelligence Plane team Duration: 20-24 weeks, full-time preferred Primary languages: Python (PyTorch or JAX), familiarity with Stable Baselines / CleanRL / TorchRL Outcome: A trained, sim-validated routing policy that demonstrably improves utility- per-dollar over the production baseline Compensation: stipend per internal scale; conversion to full-time considered for strong performers. Mentorship: each inter.

Program structure Track: Engineering Reports to: Senior staff engineer, EOS Control Plane team Duration: 12-20 weeks, full-time preferred Primary languages: Go or Rust for the gateway, Python for tooling; familiarity with gRPC / proto- buf Outcome: Production-grade contribution to the metering or routing layer with measurable performance and accuracy improvements Compensation: stipend per internal scale; conversion to full-time considered for strong performers. Mentorship: each intern is paired.

Title: Senior Business Operations System Specialist (Asia Pacific) Location: Bangalore Work format: Full time work from office Preferred technical skills: Tableau, Power BI, Excel, SQL (Basic), Python (Basic), Salesforce, SalesPage, SAP, Jira, Invoice Management, Reporting, GEN AI, Alteryx, Bloomberg, snowflake. Job Description summary: The Senior Specialist, Business System Owner (Non IT) serves as the primary business steward for designated enterprise systems and platforms. This role ensures .

We're building at the intersection of AI and next-generation consumer products. We're looking for highly motivated Web Developer Interns who are excited about modern web development, backend systems, and AI-powered workflows. If you enjoy building products end-to-end and experimenting with Python agents, LLMs, and scalable web apps, this role is for you. This is a high-ownership opportunity where you'll work directly with the founding team and contribute to real products used by real users. Wha.