Job Overview
Role: Software Engineering Intern – AI & Data Location: Bengaluru Experience: 0-2 Years Qualification: Final-year students / Recent Graduates from IITs, NITs, BITS, IIITs or equivalent Key Skills: Python, Data Structures & Algorithms, Git, Generative AI, Agentic AI, RAG, Data Engineering, Debugging
Job Description
FreightTiger Recruitment 2026 is hiring for the position of Software Engineering Intern – AI & Data in Bengaluru, Karnataka. This internship is designed for final-year students and recent graduates from top-tier institutes who are interested in software engineering, artificial intelligence, data engineering, and logistics technology. The selected interns will work alongside experienced engineers and contribute to real-world products involving Agentic AI, LLM-powered applications, RAG workflows, Python engineering, data pipelines, streaming systems, and scalable backend solutions. This opportunity offers a stipend of up to ₹25,000 per month for a duration of 6 months, with immediate joining.
Roles and Responsibilities
- AI/ML Development: Build LLM-powered Agentic AI systems using tool-use, multi-step planning and RAG workflows.
- Software Engineering: Develop scalable backend and data-processing solutions using Python; write clean, maintainable and production-grade software; work on high-volume and real-time data pipelines and streaming systems; apply data structures and algorithms to solve engineering problems at scale.
- Collaboration & Quality: Collaborate with senior engineers and product teams; participate in testing and evaluation of solutions in production environments; debug and improve applications and data-processing systems.
Skills and Eligibility Criteria
Educational Background: Final-year student or recent graduate from top-tier institutes such as IITs, NITs, BITS, IIITs or equivalent institutions.
Experience: 0-2 years. Immediate joiners are preferred. Applicants should have a strong interest in software engineering, AI and data-driven systems.
Mandatory Technical Skills:
- Python: Strong programming fundamentals and ability to write clean, production-oriented code.
- Data Structures & Algorithms: Strong problem-solving and algorithmic thinking.
- Git: Basic understanding of version control and collaborative development.
- Generative AI: Interest or experience with LLM-based applications and AI systems.
- Agentic AI: Understanding of tool usage, multi-step planning and AI agent workflows is valuable.
- RAG: Familiarity with Retrieval-Augmented Generation workflows is useful.
- Data Engineering: Understanding of data processing and scalable pipelines.
- Debugging: Ability to identify and resolve software issues.
Competencies:
- LangChain
- LlamaIndex
- Apache Kafka
- Apache Airflow
- Apache Spark
- Real-time data processing and streaming systems