Software Engineering Intern

Company Description V10XAI Consulting Services is a next-generation consulting partner focused on turning AI ambition into measurable enterprise value. The company combines deep sector expertise with advanced AI, automation, and data intelligence to transform strategy, marketing, sales, and digital operations. Working across industries such as financial services, FMCG, logistics, startups, and manufacturing, V10XAI designs AI-powered workflows that reduce friction and deliver actionable insights for scalable growth. With enterprise-grade AI engineering capabilities, the firm helps leaders navigate complexity, future-proof operating models, and create durable competitive advantage. V10XAI emphasizes fast, pragmatic, and commercially grounded transformation that is directly linked to revenue and ROI.
Role Description This AI Engineering Intern role is an internship position in a hybrid work model, based in India with flexibility for some work-from-home arrangements. The intern will support the design, development, testing, and documentation of software components that power AI-driven solutions and data workflows for client engagements.
Day-to-day responsibilities may include writing clean and maintainable code, fixing bugs, contributing to feature enhancements, and collaborating with senior engineers on architecture and integration tasks. The intern will also assist in setting up development environments, running experiments, analyzing performance metrics, and preparing technical reports or demos for internal and client stakeholders. The role involves close collaboration with cross-functional teams, including data scientists and consultants, to ensure that software deliverables align with business requirements and project timelines.
Qualifications
At CampusHire (India), we’re opening a limited number of Software Engineering Internship roles for engineers who want to work at the frontier of:
🧠 AI Agent Orchestration (LangGraph, CrewAI, AutoGen)
🔗 Advanced API Integrations & Prompt Engineering
☁️ Cloud-Native Product Architecture (AWS / GCP / Azure)
📦 ML Model Development & Deployment
🧩 Multi-Agent Collaboration Systems
This is not a “training internship.” You’ll contribute to live production systems, prototype new AI capabilities, and work directly with startup leadership and engineering teams.
🎓 Minimum Qualifications
• Bachelor’s / Master’s in Computer Science or related engineering fields
• Exposure to cloud-native development environments
• Experience integrating AI models via APIs or RAG frameworks
• Understanding of agentic design patterns (tool use, multi-agent workflows)
• Ability to prototype, demo, and present technical solutions
⭐ Preferred Edge
• Strong Python proficiency
• Experience with PyTorch / TensorFlow / JAX / Ray
• Knowledge of Transformers, GANs, VAEs, LSTMs, CNNs
• Familiarity with GPUs / TPUs and ML accelerators
• Prior startup or product build exposure

Work arrangement
No