FreightTiger Recruitment 2026 – Software Engineering Intern

FreightTiger

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Bengaluru, Karnataka, India + 1 additional location0–2 Years3 days ago

Key Responsibilities

As a Software Engineering Intern, candidates will work closely with engineering and product teams on real-world technology initiatives.
Build LLM-powered Agentic AI systems using tool-use, multi-step planning and RAG workflows.
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.
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.

Candidates interested in the FreightTiger Software Engineering Intern Recruitment 2026 should meet the following eligibility requirements:
Must be a final-year student or recent graduate.
Candidates should be from top-tier institutes such as IITs, NITs, BITS, IIITs or equivalent institutions .
Experience level mentioned in the listing is 0–2 years .
Applicants should have a strong interest in software engineering, AI and data-driven systems.
Immediate joiners are preferred for this internship opportunity.
The role focuses on modern software engineering and AI technologies. Candidates should ideally have knowledge of the following:
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.
Important skills include Python, Git, Data Structures and Algorithms, backend engineering, debugging, AI/LLMs, Agentic AI, RAG and data pipelines . Knowledge of Kafka, Airflow, Spark, LangChain or LlamaIndex is an advantage.

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