Job Overview
Role: Software Engineering Intern – AI & Data Location: Bengaluru, Karnataka, India + 1 additional location Experience: 0–2 Years Qualification: Final-year students / Recent Graduates from top-tier institutes (IITs, NITs, BITS, IIITs or equivalent) Key Skills: Python, Data Structures & Algorithms, Git, Generative AI, Agentic AI, RAG, Data Engineering, Debugging
Job Description
FreightTiger is hiring a Software Engineering Intern – AI & Data in Bengaluru for final-year students and recent graduates from top-tier institutes. This 6-month internship, offering a stipend of up to ₹25,000 per month, focuses on software engineering, AI, data engineering, and logistics technology. Interns will work on real-world products involving Agentic AI, LLM-powered applications, RAG workflows, Python engineering, data pipelines, streaming systems, and scalable backend solutions, alongside experienced engineers.
Roles and Responsibilities
- AI Systems Development: Build LLM-powered Agentic AI systems using tool-use, multi-step planning and RAG workflows.
- Backend/Data Solutions: Develop scalable backend and data-processing solutions using Python.
- Code Quality: Write clean, maintainable and production-grade software.
- Data Systems: Work on high-volume and real-time data pipelines and streaming systems.
- Problem Solving: Apply data structures and algorithms to solve engineering problems at scale.
- Collaboration: Collaborate with senior engineers and product teams.
- Testing & Evaluation: Participate in testing and evaluation of solutions in production environments.
- Debugging: Debug and improve applications and data-processing systems.
Skills and Eligibility Criteria
Educational Background: Final-year student or recent graduate from top-tier institutes (IITs, NITs, BITS, IIITs or equivalent institutions).
Experience: 0–2 years.
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:
- Strong interest in software engineering, AI and data-driven systems. Immediate joiners preferred.
- Preferred Technologies: LangChain, LlamaIndex, Apache Kafka, Apache Airflow, Apache Spark, Real-time data processing and streaming systems.