Full Stack Development Internship (Remote) at UTOR Labs
Remote · Full Time internship
5 applicants
- Stipend
- Stipend: INR 20,000 – INR 30,000 / month
- Duration
- 2 months
- Start
- Immediately
- Openings
- 1
Candidates eligible to apply must be able to work remotely, available to start between October 13 and November 17, 2026, committed to a two-month commitment, and possess applicable technical skills. Women seeking to start or restart their careers are also encouraged to apply. The role is best suite…
- Work mode
- Work from home
- Education
- Computer Science Engineering student
- Resume
- Required to apply
About the internship
About the Role
As a Full Stack Developer Intern focusing on AI and agentic systems at UTOR Labs, you will engage in creating impactful product capabilities that integrate advanced AI technologies with software and operational systems. The internship emphasizes hands-on development and exploration of AI agents within real-world product contexts.
Key Responsibilities
- Develop responsive web applications alongside backend APIs that deliver rich, data-focused user experiences.
- Implement integrations of large language models (LLMs) into functional workflows, including structured output generation, tool invocation, and context-aware assistance.
- Experiment with autonomous AI agents capable of utilizing various tools, coordinating multi-step tasks, collecting data, and managing defined workflow sequences.
- Interface applications with external APIs, databases, and third-party platforms to enhance functionality.
- Translate initial concepts and prototypes into dependable, user-friendly features that prioritize speed, safety, and usability.
- Iterate rapidly by prototyping, testing, gathering feedback, and refining solutions.
Candidate Profile
- Proficiency in JavaScript or TypeScript, HTML, and CSS.
- Familiarity with React, with an enthusiasm for full-stack software development.
- Understanding of essential web and backend components such as APIs, HTTP protocols, JSON formats, and relational databases.
- Experience with Python programming, backend development frameworks, and integrating AI/LLM technologies.
- Curiosity and eagerness to explore agent frameworks, tool-calling techniques, workflow orchestrations, and AI-based automation solutions.
- Strong analytical skills combined with a drive to learn through practical construction and experimentation.
Additional Advantageous Skills
- Experience with Next.js, Node.js, Django, or FastAPI.
- Previous projects involving LLM APIs, Retrieval-Augmented Generation (RAG), AI agents, or automation workflows.
- Familiarity with tools like Git, Docker, PostgreSQL, and cloud deployment environments.
- Availability of a GitHub repository, deployed applications, or personal projects to showcase.
- Note: Mastery of every technology is not mandatory; a solid foundation in concepts, practical problem-solving abilities, and quick learning capacity are prioritized.
About UTOR Labs
UTOR Labs focuses on enhancing human decision-making through machine intelligence, aiming to boost productivity and operational efficiency. They develop innovative technologies designed to support organizations in making better decisions by combining software, infrastructure, and AI.
Internship Details
- Duration: 2 months
- Location: Work from home (Remote)
- Stipend: INR 20,000 to 30,000 per month
- Flexible work hours available
- Opportunity to work on a real B2B technology product through all phases of development and deployment
- Gain practical experience with AI integrations extending beyond typical chatbot interfaces
- Hands-on exposure to agentic systems, tool utilization, and controlled automation in software engineering
Eligibility and Application
- Applicants must be available to work remotely and start between October 13, 2026, and November 17, 2026
- Must commit to the full 2-month internship period
- Relevant skills and interests in software development and AI are required
- Open to computer science engineering students and women seeking career start or return
- Applicants encouraged to submit a resume and GitHub portfolio detailing projects or technologies they wish to explore.