Job Overview
Role: Software Engineering Intern – AI & Data Location: Bengaluru Experience: 0–2 Years Qualification: Final Year / Recent Graduate from IITs, NITs, BITS, IIITs or Equivalent Top-Tier Institutes Key Skills: Python Engineering, Data Structures and Algorithms, Git, Software Development, Large Language Models, Data Engineering, Agentic AI, RAG, Kafka, Airflow, Spark
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
- AI Agent Development: Build LLM-powered agents with tool use, multi-step planning and RAG-based workflows.
- Backend & Data Solutions: Write clean, production-grade Python code; Develop scalable backend and data-processing solutions.
- Data Pipeline Optimization: Design and optimize high-volume, real-time data pipelines; Work with streaming data systems.
- Algorithm Application: Apply Data Structures and Algorithms to engineering problems.
- Collaboration: Collaborate directly with senior engineers and product teams.
- Testing & Evaluation: Participate in testing and evaluation of systems built during the internship.
- Full Lifecycle Exposure: 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 (Academic or practical exposure to Python, AI, software engineering and data systems).
Mandatory Technical Skills:
- Python Engineering
- Data Structures and Algorithms
- Git
- Large Language Models (LLMs)
- Data Engineering (data pipelines, real-time data processing, streaming systems)
- Agentic AI (LLM-powered agents, tool-use workflows, multi-step planning)
- Retrieval-Augmented Generation (RAG)
Competencies:
- Strong fundamentals in Data Structures and Algorithms
- Interest in Artificial Intelligence, software engineering and data systems
- Basic Git knowledge and debugging fundamentals
- Familiarity with frameworks such as LangChain or LlamaIndex (plus)
- Exposure to technologies such as Kafka, Airflow or Spark (plus)