Top Internships 2026: Lumilens, FreightTiger & Novartis

Students, fresh graduates and early-career candidates can explore these three internship opportunities in 2026 from Lumilens, FreightTiger and Novartis. The roles cover software test automation, networking, optical systems, Artificial Intelligence, data engineering, machine learning and data science, giving candidates opportunities to work on practical technology problems.

These internships can provide valuable practical experience while helping candidates strengthen their resumes and gain industry exposure. From testing optical infrastructure for AI systems to developing Agentic AI applications and building workforce analytics models, each opportunity offers a different route into high-demand technology careers.

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1. Lumilens – Software Test Automation Engineer

Company	Lumilens
Internship / Job Role	Software Test Automation Engineer
Qualification	Bachelor’s or Master’s degree in Computer Science, Electronics, Telecommunications, or related field
Experience	Early Talent / Freshers
Location	Bangalore
Department	Test Automation · Networking · Optical Systems
Duration	As per official information
Employment Type	Full-Time
Work Mode	As per official information
Salary	₹6–8 LPA
PPO	As per official information

About the Opportunity

Lumilens is described as a company building connectivity infrastructure for AI, including next-generation photonic interconnects and photonic engines. According to the supplied listing, the company recently emerged from stealth, has raised $900M+ in funding and has a stated $5.5 billion valuation. Its technology focus includes chip-to-chip optical interconnects and scalable photonic engines for AI supercomputing.

Role Overview

The Software Test Automation Engineer role focuses on software automation for optical products, networking systems and Layer 1/Layer 2 validation. The selected candidate will work with Python-based testing frameworks, optical interfaces, network switches, traffic generators and manufacturing test systems while collaborating with software, hardware, design-engineering and manufacturing teams.

Key Responsibilities

Developing, maintaining and executing automated test cases using Python.
Performing functional, regression and performance testing on Layer 1 and Layer 2 network systems.
Validating hardware and software integration involving optical interfaces and network switches.
Configuring and using traffic generators such as IXIA to simulate network environments and evaluate performance.
Collaborating with developers and hardware engineers to identify, reproduce and resolve defects.
Documenting test cases, results and defects using test-management tools.
Maintaining code and test assets using version-control systems such as GitHub or Bitbucket.
Continuously improving test frameworks and testing methodologies.
Working with design-engineering and manufacturing teams to develop test software for high-volume manufacturing of optical components.
Working with engineering teams to improve manufacturing yield, efficiency and cost.
Taking ownership of manufacturing test scripts, including their creation, maintenance and change control.
Managing manufacturing software change-control processes.
Working with software engineering, IT and database teams to develop reliable, scalable and cost-effective solutions for manufacturing test data.

Required Skills

Strong proficiency in Python for test automation.
Good understanding of Layer 1 and Layer 2 networking protocols.
Experience with optical testing.
Experience with network switches.
Experience with traffic generators such as IXIA.
Ability to debug issues in complex networking environments.
Experience with Jenkins, ArgoCD or other CI/CD tools.
Familiarity with Shell scripting for automation and environment setup.
Exposure to C# for UI validation or tool development is an advantage.
C# .NET — Framework or Core.
Object-oriented programming concepts including classes, interfaces, inheritance and polymorphism.
Windows Forms or WPF.
Hardware communication protocols including NI-VISA, SCPI, RS-232 and TCP/IP.
Experience with optical oscilloscopes, optical power meters, optical switches and network switches.
Database integration using SQL or NoSQL.
Version control using GitHub, Bitbucket or SVN.
Knowledge of optical transceivers.
Silicon photonics (SiPh) is a plus.
Good written and verbal English communication.
In-person and virtual presentation skills.

Benefits

The listing mentions competitive salary based on experience, a comprehensive benefits package, health insurance, professional development opportunities, certification opportunities, access to optical/photonics testing environments and tools, and a collaborative cross-functional engineering environment.

Why this opportunity is valuable: This role is particularly relevant for candidates interested in test automation, networking, semiconductor-adjacent technology, optical systems and AI infrastructure. The combination of Python, networking, CI/CD, hardware communication and manufacturing testing can lead to opportunities in automation engineering, validation engineering and systems testing.

Recommended Skills & Learning Resources

Interview Preparation

Prepare Python, OOP, networking fundamentals, Layer 1/Layer 2 concepts, SQL, debugging and automation scenarios. Candidates should also be ready to explain testing projects and their approach to identifying and reproducing defects.

How to Apply for Lumilens

Review the Lumilens Software Test Automation Engineer requirements.
Prepare a resume highlighting Python, testing, networking and automation skills.
Complete the application form provided for the position.
Submit accurate educational and professional details.
Prepare for technical and engineering discussions if shortlisted.

Apply for Lumilens

2. FreightTiger – Software Engineering Intern – AI & Data

Company	FreightTiger
Internship Role	Software Engineering Intern – AI & Data
Qualification	Final year / recent graduates from IITs, NITs, BITS, IIITs or equivalent top-tier institutes
Experience	Freshers
Location	Bengaluru, Karnataka, India + 1
Department	Engineering – AI & Data
Duration	6 months
Employment Type	Intern
Work Mode	Hybrid / Remote
Stipend	Up to ₹25,000/month
PPO	As per official information

About the Internship

FreightTiger is offering a Software Engineering Internship focused on the intersection of AI, data and logistics technology. Interns will work alongside experienced engineers and contribute to products from prototype through production, providing exposure to Agentic AI systems, backend engineering, data pipelines and real-time data processing.

Role Overview

The role combines software engineering with AI and data engineering. Interns can work on LLM-powered agents, tool-use, multi-step planning and RAG workflows, while also writing production-grade Python, working with high-volume data systems and applying data structures and algorithms to engineering problems at scale.

Key Responsibilities & Work Areas

Build Agentic AI systems with LLM-powered agents, tool-use, multi-step planning and RAG-based workflows.
Work with frameworks such as Lang Chain/LlamaIndex, which are a plus but not required.
Write clean, production-grade Python code for scalable backend and data-processing solutions.
Use Git and debugging fundamentals in software development.
Design and optimize systems that process high-volume, real-time data.
Work with technologies such as Kafka, Airflow or Spark where applicable.
Apply data structures and algorithms to solve engineering problems at scale.
Collaborate directly with senior engineers and product teams.
Test and evaluate what you build in production.

Eligibility

Final year / recent graduates.
Applicants from IITs, NITs, BITS, IIITs or equivalent top-tier institutes.

Stipend & Benefits

The internship offers a stipend of up to ₹25,000 per month and has a duration of 6 months. The joining is specified as immediate. The supplied information does not confirm a PPO.

Why this internship is valuable: This is a strong option for candidates targeting AI engineering, backend development and data engineering. Working with Agentic AI, RAG, production Python and real-time data systems can provide relevant experience for emerging AI and software engineering roles.

Recommended Skills & Learning Resources

Interview Preparation

Focus on Python, data structures and algorithms, backend fundamentals, APIs, databases and basic LLM concepts. Be prepared to explain any AI, data or software project you have worked on and how you tested it.

How to Apply for FreightTiger Internship

Open the FreightTiger Software Engineering Intern listing.
Verify the institute and final-year/recent-graduate eligibility.
Update your resume with Python, AI, data and software projects.
Submit your application through the official careers portal.
Prepare for technical interviews and project discussions.

Apply for FreightTiger Internship

3. Novartis – Intern Data Science

Company	Novartis
Internship Role	Intern Data Science
Qualification	Graduate or Post-graduate from a top-tier university in a quantitative discipline
Experience	Relevant experience in Data Science
Location	India
Department	Data Science
Duration	As per official information
Employment Type	Intern
Work Mode	As per official information
Stipend	As per official information
PPO	As per official information

About the Internship

Novartis is offering an Intern Data Science opportunity focused on applying data science and AI to workforce-related business challenges. The role covers employee engagement, recruitment optimization, predictive workforce planning and Generative AI use cases, while giving interns exposure to machine learning, predictive analytics, LLMs and enterprise decision-making.

Role Overview

The intern will work on models, dashboards and analytical frameworks that can influence enterprise-wide decisions. The role includes statistical modeling, machine learning, predictive workforce analytics, data mining, exploratory data analysis, feature engineering, visualization and prototyping LLM-based solutions.

Key Responsibilities

Apply skills to solve real-world challenges related to employee engagement, recruitment optimization, predictive workforce planning, and generative AI use cases.
Design models, dashboards, and frameworks that influence enterprise-wide decisions.
Collaborate on high-impact projects with direct visibility to stakeholders and leaders.
Gain hands-on experience with cutting-edge data science methodologies and tools, including machine learning, predictive analytics, large language models (LLMs), and generative AI.
Build tangible solutions that shape the future of the workforce—strategy, processes, and culture.
Support supervisor in research and development of new algorithms, methods, statistical models and business models and provide insight into structured and unstructured data.
Leverage statistical and machine learning techniques such as regression, classification, clustering, and design of experiments.
Develop predictive models to address key HR areas like talent acquisition, employee experience, location strategy, and workforce planning.
Build self-service dashboards and visualizations that empower stakeholders with real-time insights.
Conduct data mining, exploratory data analysis (EDA), and feature engineering to uncover actionable insights.
Use generative AI to create personalized employee experiences, optimize HR workflows, and support decision-making.
Explore and prototype LLM-based use cases to revolutionize workforce analytics.

Required Skills

Relevant experience in Data Science.
Post-graduate or Graduate from a top Tier University in a quantitative discipline.
Statistical Modeling/Machine Learning.
Regression, especially GLM and non-linear regression.
Classification techniques including Trees, Random Forest, Boosting, SVM and CART.
Clustering.
Design of Experiments.
Statistical Inference.
Machine learning and predictive analytics.
Large language models and Generative AI.
Data mining, EDA and feature engineering.

Stipend & Benefits

The company has not officially disclosed the internship stipend. No PPO information is provided in the supplied listing. The key value of the opportunity is exposure to enterprise data science, statistical modeling, machine learning, predictive workforce analytics and Generative AI projects.

Why this internship is valuable: This role can be particularly useful for students targeting data science, machine learning, analytics and AI careers. Experience in statistical techniques, predictive modeling, dashboards, EDA, feature engineering and LLM use cases can translate into opportunities across data science and AI-driven business functions.

Recommended Skills & Learning Resources

Focus on Python, statistics, machine learning, SQL, exploratory data analysis and Generative AI projects. Practical project experience will be especially useful for demonstrating your ability to apply theoretical concepts.

Interview Preparation

Revise regression, classification, clustering, statistical inference, design of experiments, feature engineering and machine learning model evaluation. Also prepare to explain how you would convert an unstructured business problem into a measurable data science solution.

How to Apply for Novartis Data Science Internship

Open the official Novartis Intern Data Science listing.
Review the quantitative education and data science requirements.
Update your resume with machine learning, statistics, AI and data projects.
Apply through the Novartis careers portal.
Prepare for technical, analytical and business-case discussions.

Apply for Novartis Internship

Which Internship Should You Choose?

Company	Best For	Skills You’ll Learn	PPO	Work Mode
Lumilens	Test Automation, Networking & Optical Systems	Python, L1/L2 Networking, CI/CD, Optical Testing, SQL, Hardware Testing	Not Specified	As per official information
FreightTiger	AI, Backend & Data Engineering	Python, Agentic AI, LLMs, RAG, Data Pipelines, Kafka/Airflow/Spark	Not Specified	Hybrid / Remote
Novartis	Data Science & Machine Learning	Statistics, ML, Predictive Analytics, EDA, Feature Engineering, GenAI	Not Specified	As per official information

Choose Lumilens if you are interested in software testing, networking, optical systems and AI infrastructure. FreightTiger is a strong fit for candidates targeting AI engineering, backend development, Agentic AI and real-time data systems. Novartis is better suited to candidates with a strong quantitative background who want to build careers in data science, machine learning, predictive analytics and Generative AI. Comparing the technical requirements with your existing projects and skills can help you select the most relevant opportunity.

Related Opportunities

Frequently Asked Questions

Which internship offers the highest disclosed stipend?

FreightTiger offers a stipend of up to ₹25,000 per month for its six-month Software Engineering Intern – AI & Data opportunity. Lumilens lists a salary of ₹6–8 LPA for its full-time Software Test Automation Engineer role, while the Novartis listing does not disclose a stipend.

Which role is best for AI and Machine Learning students?

FreightTiger and Novartis are the strongest matches. FreightTiger focuses on Agentic AI, LLM-powered agents, RAG and AI/data engineering, while Novartis focuses on statistical modeling, machine learning, predictive analytics, workforce analytics and Generative AI.

Which opportunity is suitable for testing and networking?

The Lumilens Software Test Automation Engineer role is the most relevant option. It combines Python test automation with Layer 1/Layer 2 networking, optical testing, network switches, traffic generators, CI/CD and manufacturing test systems.

These three opportunities cover very different technology paths, so candidates should apply based on their strongest skills and career direction. Before applying, update your resume, showcase relevant projects and review the technical requirements carefully. Apply early and continue building practical skills in Python, AI, data science, testing or networking to improve your chances in competitive internship and early-career hiring.

Top Internships 2026: Lumilens, FreightTiger & Novartis | Apply Online