Street Surge Technologies Internship 2026 – Overview
| Company | Street Surge Technologies |
| Role | Software Development Engineer (SDE) – AI & Machine Learning |
| Opportunity Type | Paid Internship |
| Qualification | Pursuing B.Tech./M.Tech. in Computer Science or a related field |
| Stipend | ₹15,000–₹20,000 per month |
| Location | Gurgaon, Haryana |
| Work Mode | Full-time, in-office |
| Duration | 3 months |
| Application Deadline | 18 November 2026 |
Street Surge Technologies SDE AI and Machine Learning Internship 2026 is a three-month paid internship opportunity for eligible engineering students interested in software development, artificial intelligence, and machine learning. Based in Gurgaon, this in-office internship offers a monthly stipend of ₹15,000 to ₹20,000 and involves building full-stack features, integrating large language models (LLMs), and developing AI-powered solutions for urban planning.
Candidates pursuing B.Tech. or M.Tech. in Computer Science or a related field can apply if they meet the company’s requirements and are available for the full-time internship. The application deadline is 18 November 2026, and the selected candidate may receive a permanent job offer after successfully completing the internship.
Street Surge Technologies SDE AI and Machine Learning Internship 2026 Overview
| Particular | Details |
|---|---|
| Company | Street Surge Technologies |
| Role | Software Development Engineer (SDE) – AI & Machine Learning |
| Opportunity Type | Paid Internship |
| Location | Gurgaon, Haryana |
| Work Mode | Full-time, in-office |
| Qualification | Pursuing B.Tech./M.Tech. in Computer Science or a related field |
| Duration | 3 months |
| Stipend | ₹15,000–₹20,000 per month |
| Start Date | Immediately; candidates must be able to start between 19 October and 23 November 2026 |
| Application Deadline | 18 November 2026 |
| Number of Openings | 1 |
| Working Days | 5 days a week |
| Job Offer After Internship | ₹6,00,000–₹84,00,000 per year, subject to successful conversion to permanent employment |
About Street Surge Technologies
Street Surge Technologies develops technology solutions focused on improving India’s urban infrastructure. The company works with big data for mobility decisions, AI-driven transportation planning, and urban design tools.
Its stated goal is to help address urban challenges such as traffic congestion, pollution, and road accidents while improving citizens’ quality of life.
Website: www.streetsurge.in
Internship Details
The Software Development Engineer internship combines software engineering with practical applications of artificial intelligence and machine learning. Interns will work on full-stack development, backend services, REST APIs, and LLM-powered functionality for urban planning products.
This opportunity is relevant to students who want to apply their programming knowledge to real-world software systems and gain experience integrating AI models into applications.
The role requires collaboration with the development team, participation in code reviews, troubleshooting across different layers of an application, and contributing ideas to improve existing systems.
Eligibility Criteria
Candidates must satisfy the following conditions to apply:
- Educational qualification: Currently pursuing a B.Tech. or M.Tech. in Computer Science or a related field.
- Availability: Must be available for a full-time, in-office internship.
- Joining window: Must be able to start between 19 October 2026 and 23 November 2026.
- Duration: Must be available for the complete three-month internship.
- Relevant skills: Must have relevant skills and interests for the position.
The company is also open to women who want to start or restart their careers.
The source does not specify a particular graduation batch, minimum academic percentage, or prior work experience requirement.
Skills Required
The internship listing highlights the following skills and technical knowledge.
Technical Skills
- Python and Java programming fundamentals
- React for frontend development
- REST API development and integration
- Generative AI tools
- Large language model (LLM) evaluation
- LLMOps
- Prompt engineering and familiarity with generative AI frameworks
Additional Preferred Skills
Experience with the following technologies or concepts is considered a strong advantage:
- Cloud platforms such as AWS or Google Cloud Platform (GCP)
- Containerization
- Vector databases
Candidates should focus on demonstrating their programming fundamentals and understanding of AI integration when presenting their relevant projects and experience.
Key Responsibilities
Selected interns will contribute to software development and AI integration tasks. The responsibilities include:
- Full-stack development: Design, develop, and maintain application features using Java or Python for backend development and React for user interfaces.
- LLM integration: Develop, test, and integrate large language model-powered solutions into the company’s urban planning products.
- REST API development: Build and consume APIs that connect client applications, backend solvers, and AI services.
- Debugging and optimization: Identify and resolve problems across frontend code, backend services, and model integration layers.
- Code reviews: Participate in reviews to help maintain code quality and development standards.
- System improvements: Recommend changes that can improve existing applications and systems.
- Technology awareness: Stay informed about Java developments and relevant technologies.
- Team collaboration: Share progress updates, work with colleagues, and seek guidance when required.
These responsibilities provide exposure to both conventional software engineering and AI-enabled product development.
Stipend and Benefits
The internship offers a stipend and several additional benefits.
| Benefit | Details |
|---|---|
| Monthly stipend | ₹15,000–₹20,000 |
| Internship certificate | Provided |
| Letter of recommendation | Listed as a perk |
| Working days | 5 days a week |
| Work hours | Flexible work hours |
| Workplace dress code | Informal |
| Office perks | Free snacks and beverages |
| Employment opportunity | Potential permanent job offer |
The listing also advertises a potential annual salary of ₹6 lakh to ₹84 lakh following successful conversion to a permanent employee.
This is a stated post-internship salary range, not a guaranteed offer or salary for every selected candidate. The listing does not explain the conditions or role levels associated with the full range.
Internship Location and Work Mode
The internship is based in Gurgaon, Haryana, and requires full-time, in-office attendance.
Candidates should consider their ability to work from the Gurgaon office for the entire three-month duration before applying. Although the listing mentions flexible work hours, it does not describe the position as remote or hybrid.
Important Dates
| Event | Date |
|---|---|
| Internship start | Immediately |
| Eligible joining window begins | 19 October 2026 |
| Application deadline | 18 November 2026 |
| Last date within the specified joining window | 23 November 2026 |
The joining window extends beyond the application deadline. Candidates should apply before 18 November 2026 and ensure that they can start within the specified period.
How to Apply for Street Surge Technologies SDE AI and Machine Learning Internship 2026
Eligible candidates can apply online through the internship listing on Internshala.
Follow these steps:
- Open the application page using the link below.
- Review the eligibility criteria, responsibilities, stipend, and location.
- Proceed with the application through the provided Internshala page.
Official Application Link: Apply for the Internship
Company Website: Street Surge Technologies
The supplied application link is hosted on Internshala, where the opportunity is listed. Candidates should verify the current application status before submitting their application.
Students can also explore additional internships, job opportunities, placement updates, and academic resources on NotesGallery.
Preparation Tips for Applicants
The following are general preparation suggestions, not additional requirements specified by Street Surge Technologies.
- Strengthen programming fundamentals: Practise writing and debugging Python or Java programs.
- Build a full-stack project: Prepare a project demonstrating frontend development with React and backend functionality.
- Understand REST APIs: Be comfortable explaining how applications communicate with backend services and external AI tools.
- Explore LLM integration: Learn how to connect an LLM to an application and evaluate its responses.
- Review your projects: Be prepared to explain your implementation choices, debugging process, and contributions.
- Understand AI deployment concepts: Familiarity with LLMOps, cloud platforms, containerization, and vector databases may help demonstrate your technical knowledge.
A clear demonstration of relevant skills through academic or personal projects can help you communicate your suitability for the role.
Frequently Asked Questions (FAQs)
1. What is Street Surge Technologies SDE AI and Machine Learning Internship 2026?
It is a three-month, full-time, in-office internship in Gurgaon focused on software engineering, full-stack development, and integrating LLM-powered solutions into urban planning products.
2. Who can apply for this internship?
Students currently pursuing a B.Tech. or M.Tech. in Computer Science or a related field can apply, provided they meet the stated skill and availability requirements.
3. What is the monthly stipend?
The advertised stipend is ₹15,000 to ₹20,000 per month.
4. What is the last date to apply?
The application deadline is 18 November 2026.
5. Is the internship remote or work from office?
It is a full-time, in-office internship based in Gurgaon, Haryana.
6. What is the duration of the internship?
The internship lasts three months. Candidates must be available for the full duration.
7. What skills are required for the SDE AI and Machine Learning role?
The listing emphasizes Python and Java programming fundamentals, React, REST APIs, generative AI tools, LLM evaluation, and LLMOps. Familiarity with LLMs, prompt engineering, and generative AI frameworks is also expected.
8. What salary can candidates receive after the internship?
The listing advertises a potential annual salary ranging from ₹6 lakh to ₹84 lakh after successful conversion to permanent employment. This is not a guaranteed salary for every intern.
9. How many vacancies are available?
The listing mentions one opening for the internship.
10. How can candidates apply?
Candidates can visit the Internshala application page to review and apply for the opportunity.
