Software Engineering Intern

• *Title: Software Engineering Intern****Duration: 6 months****Location: Remote** **Job Description** **The Role:**

We are looking to urgently onboard a talented Software Engineering Intern to join our Engineering team. This is a great opportunity for students or recent graduates who are passionate about technology, have some exposure to GenAI tools and workflows, and are eager to gain hands\-on experience in a fast\-paced startup environment. The primary focus of this internship will be on programming skills, particularly in JavaScript, React, and Python, with an emphasis on applying GenAI experience to real engineering workflows. **Responsibilities:*** Development: Assist in the design, development, and maintenance of web applications using JavaScript and React.

• GenAI Application: Bring prior exposure to GenAI tools/APIs (e.g., LLM integrations, prompt engineering, AI\-assisted coding tools) to contribute to ongoing GenAI\-related initiatives within the team.
• Collaboration: Work closely with senior developers to quickly ramp up on project context left by the outgoing engineer and contribute to coding tasks.
• Testing: Participate in testing and debugging applications to ensure optimal performance and user experience.
• Documentation: Help document code and maintain clear records of development processes and changes.
• Learning: Engage in continuous learning to improve your programming skills and stay updated with the latest technologies.

• *Required Skills:*** Currently pursuing or recently completed a degree in Computer Science, Software Engineering, or a related field (non\-CS/IT background is encouraged).
• Proficiency in programming concepts and languages (preferably JavaScript, React, or Python).
• Hands\-on exposure to GenAI/LLM tooling such as LangGraph, LangChain, RAG pipelines, or vector databases is strongly preferred.
• Familiarity with prompt engineering or tool\-calling/multi\-agent systems is a strong plus.
• Strong analytical skills with a knack for troubleshooting and resolving technical issues.
• Ability to work collaboratively in a team environment while also being self\-motivated.
• Good verbal and written communication skills to effectively convey ideas and solutions.

• *Preferred Qualifications:*** Experience with version control systems such as Git.
• Exposure to front\-end technologies like HTML5, CSS3, and responsive design principles.
• Familiarity with RESTful APIs and integration techniques.
• Prior project experience (academic or personal) involving GenAI/LLM\-based applications — e.g., building agentic pipelines, autonomous coding/review agents, or RAG\-based systems.
• Experience with MLOps/experiment tracking tools (e.g., Weights \& Biases) and deployment platforms (e.g.Docker, FastAPI).

• *What You'll Gain With Us:*** Mentorship: Guidance from experienced professionals in the field.
• Hands\-On Experience: Real\-world projects, including GenAI\-driven initiatives, that enhance your coding skills and build your portfolio.
• Flexible Work Environment: Opportunities for remote work and flexible hours.
• Networking Opportunities: Connect with industry professionals and fellow innovators.

• *About Us**

Scrut Automation is an information security and compliance monitoring platform, aimed at helping small and medium cloud\-native enterprises develop and maintain a robust security posture, and comply with various infosec standards such as SOC 2, ISO 27001, GDPR, and the like with ease. With the help of the Scrut platform, customers reduce their manual effort for security and compliance tasks by 70%, and build real time visibility of their security posture. Founded by IIT/ISB/McKinsey alumni, the founding team has over 15 years of combined Infosec experience. Scrut is built out of India for the world, with customers across India, APAC, North America, Europe and the Middle East. Scrut is backed by Lightspeed Ventures, MassMutual Ventures and Endiya Partners, along with prominent angels from the global SaaS community.

Note: Due to a high volume of applications, only the shortlisted candidates will be contacted by the HR team. We appreciate your interest and effort.