Job Overview
Role: Software Engineering Intern – AI & Data Location: Bengaluru Experience: 0-2 Years Qualification: Final Year / Recent Graduate (IITs, NITs, BITS, IIITs or Equivalent) Key Skills: Python, Data Structures, Algorithms, Git, LLM, Data Engineering, Agentic AI, RAG
Job Description
FreightTiger Internship 2026 is hiring for a Software Engineering Intern – AI & Data position in Bengaluru, Karnataka. The internship is suitable for final-year students and recent graduates from IITs, NITs, BITS, IIITs or equivalent top-tier institutes. The internship provides hands-on exposure to Agentic AI, LLM-powered applications, Python engineering, RAG workflows, real-time data pipelines and streaming systems. Interns will work alongside experienced engineers and product teams to take ideas from prototype to production. The position offers a stipend of up to ₹25,000 per month, has a duration of 6 months and requires immediate joining. The work model is listed as Hybrid / Remote.
Roles and Responsibilities
- Build LLM-powered agents with tool use, multi-step planning and RAG-based workflows.
- Write clean, production-grade Python code.
- Develop scalable backend and data-processing solutions.
- Design and optimize high-volume, real-time data pipelines.
- Work with streaming data systems.
- Apply Data Structures and Algorithms to engineering problems.
- Collaborate directly with senior engineers and product teams.
- Participate in testing and evaluation of systems built during the internship.
- Gain exposure to the full product development lifecycle from prototype to production.
Skills and Eligibility Criteria
Educational Background: Must be a final-year student or recent graduate from IIT, NIT, BITS, IIIT or an equivalent top-tier institute.
Experience: 0–2 years of experience.
Mandatory Technical Skills:
- Strong fundamentals in Data Structures and Algorithms.
- Practical or academic exposure to Python.
Competencies:
- Basic Git knowledge and debugging fundamentals.
- Interest in Artificial Intelligence, software engineering and data systems.
- Understanding of the basic concepts behind data pipelines, real-time data processing and high-volume streaming systems.
- Exposure to LangChain or LlamaIndex (plus).
- Exposure to technologies such as Kafka, Airflow or Spark (useful).
- Available for immediate joining.