Job Overview
Role: Software Engineering Intern – AI & Data Location: Bengaluru Experience: 0-2 Qualification: Final Year Student or Recent Graduate from IITs, NITs, BITS, IIITs or equivalent top-tier institutes Key Skills: Agentic AI, LLM-powered applications, Python engineering, RAG workflows, Real-time data pipelines, Streaming systems, Data Structures, Algorithms, Git, Data Engineering
Job Description
FreightTiger Internship 2026 is hiring for a Software Engineering Intern – AI & Data position in Bengaluru, Karnataka. 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.
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: Final-year student or recent graduate from IIT, NIT, BITS, IIIT or an equivalent top-tier institute.
Experience: 0–2 years (implied for final year/recent graduates).
Mandatory Technical Skills:
- Strong fundamentals in Data Structures and Algorithms
- Practical or academic exposure to Python
- Basic Git knowledge and debugging fundamentals
- Basic understanding of data pipelines, real-time data processing and high-volume streaming systems
- Understanding of LLM-powered agents, tool-use workflows, multi-step planning, Retrieval-Augmented Generation (RAG), AI-powered product features, Production evaluation of AI systems
- Interest in Artificial Intelligence, software engineering and data systems
Competencies:
- Familiarity with frameworks such as LangChain or LlamaIndex (Preferred)
- Exposure to technologies such as Kafka, Airflow or Spark (Preferred)
- Data pipeline development (Preferred)
- LLM application development (Preferred)
- RAG workflows (Preferred)