AI Implementation Intern

Round 1: Online coding assessment → Round 2: Technical interview (ML concepts, Python coding, system design) → Round 3: HR interview (fit, motivation, culture)

Sprinto promotes a transparent, merit‑based culture where ideas are judged on impact rather than hierarchy. Employees enjoy a blend of autonomy and collaboration, with regular knowledge‑sharing sessions and clear growth pathways. Despite its rapid growth, the company maintains a healthy work‑life balance through flexible remote work policies and supportive leadership.

Sprinto's interview process typically starts with a timed coding test on platforms like HackerRank or Codility, followed by a technical interview focusing on machine‑learning concepts, Python coding and system design. The final HR round assesses cultural fit and motivation. Candidates find the technical rounds moderately challenging, with emphasis on problem‑solving speed and clear communication.

Currently pursuing B.Tech/M.Tech/BS/MS in Computer Science, Computer Engineering, Data Science or related fields; minimum 60% aggregate (or CGPA 6.0/10); expected graduation in 2025, 2026 or 2027; no active backlogs at the time of joining; strong interest in AI/ML and software development.

Sprinto is an Autonomous Trust Platform that centralises compliance, audit and risk‑management requirements for organisations across the globe. Backed by top‑tier investors such as Accel, Elevation and Blume Ventures, the company has raised $31.8 million and now serves more than 4,000 customers in 75 countries. Its platform automates repetitive trust‑related tasks, supports over 200 security standards (SOC 2, ISO 27001, GDPR, HIPAA, PCI‑DSS, etc.) and offers 300+ native integrations, making it a critical piece of the modern security stack. Founded in 2020 by serial entrepreneurs Girish Redekar and Raghuveer Kancherla, Sprinto has quickly become a favourite among fast‑growing tech firms such as Whatfix, Anaconda, WeWork and HackerRank. The company’s culture revolves around problem‑oriented teams, rapid iteration and a high degree of ownership – "nobody succeeds by staying in their lane" – encouraging every Sprinter to step beyond their defined role and contribute wherever value can be added. The AI Implementation Intern will work closely with senior engineers, data scientists and product managers to build and optimise the AI backbone that powers Sprinto’s intelligent services. The role offers a hands‑on experience in designing data pipelines, integrating large language models and creating reusable AI services such as document parsing and semantic search. Interns will gain exposure to cloud‑native infrastructure, model training workflows and performance monitoring, all within a supportive remote‑first environment. **Key Responsibilities** 1. Collaborate with engineering teams to identify bottlenecks in AI workflows and propose efficient solutions. 2. Build and maintain data pipelines for model training, validation and deployment. 3. Contribute to centralised AI services, including document parsing, search utilities and LLM integration. 4. Assist in performance evaluation of AI models and suggest optimisation strategies. 5. Write clean, modular Python code and develop reusable utilities for the AI stack. 6. Participate in code reviews, sprint planning and technical discussions. 7. Document architecture decisions, experiment results and best practices. 8. Stay updated with the latest research in machine learning and propose relevant innovations. 9. Support the creation of developer tools that simplify AI model consumption for internal teams. 10. Help troubleshoot production issues related to AI services. **Tech Stack**: Python, TensorFlow / PyTorch, FastAPI, Docker, Kubernetes, AWS (S3, SageMaker, Lambda), Git, CI/CD pipelines, SQL/NoSQL databases. **Growth Path**: Successful interns can transition to full‑time AI Engineer or Data Engineer roles, with clear mentorship, exposure to cross‑functional projects and opportunities to lead AI initiatives as the platform scales. **Why Join Sprinto?** The company offers a fast‑paced, impact‑driven environment where interns see their contributions directly affect real customers. With a remote‑first policy, flexible working hours, and a culture that prizes learning and ownership, Sprinto provides an ideal launchpad for aspiring AI professionals.