Spyne is Hiring SDE Intern | Gurugram | Freshers (6 Months, PPO Opportunity)

Job Description

Spyne's SDE Internship is worth flagging for one specific detail early: the listing explicitly states a "strong preference for candidates from IITs, NITs, BITS, NSUT, DTU, and other premier engineering institutes." This is unusually direct compared to most listings on this site, which rarely state college-tier preferences openly. Worth being upfront with readers about this — if you're not from one of these institutes, it doesn't mean you're automatically excluded (many companies state preferences that still leave room for strong candidates elsewhere), but it does mean you should expect the initial resume screening to weight college pedigree more heavily than most other listings we've covered.

Spyne itself is a genuinely interesting company to know about — an AI-first automotive retail startup, Series A funded ($16M from Vertex Ventures and Accel), applying Generative AI specifically to how car dealerships market and sell vehicles across the US and EU markets. This gives the internship real substance: you'd be working on production AI products at a funded, scaling startup rather than an internal tool or isolated project, with direct collaboration across Frontend, Backend, and AI teams.

The role itself is a fairly standard, well-rounded full-stack SDE internship — React.js/Node.js, REST APIs, databases — without unusual or excessive technical demands beyond what's typical for a strong CS fresher. What differentiates this listing isn't technical complexity but rather the combination of startup ownership culture and explicit PPO (Pre-Placement Offer) conversion path — the listing repeatedly emphasizes "you'll build, not shadow," which is a genuine and specific promise worth probing during interviews (ask for concrete examples of what past interns actually shipped).

𝐎𝐮𝐫 𝐓𝐚𝐤𝐞:

- 𝐆𝐨𝐨𝐝 𝐟𝐨𝐫: CS/Engineering students, particularly from top-tier institutes, with solid JavaScript/React/Node fundamentals who want real ownership and ideally a full-time conversion path at a funded AI startup

- 𝐍𝐨𝐭 𝐢𝐝𝐞𝐚𝐥 𝐟𝐨𝐫: those seeking remote or hybrid flexibility — this is explicitly 5 days/week in-office in Gurugram, with immediate joining preferred

- 𝐒𝐞𝐥𝐞𝐜𝐭𝐢𝐨𝐧 𝐝𝐢𝐟𝐟𝐢𝐜𝐮𝐥𝐭𝐲: high — the explicit institute preference combined with startup-level bar for "ownership mindset" and fast learning suggests a competitive, well-screened process despite it being an internship

- 𝐂𝐚𝐫𝐞𝐞𝐫 𝐭𝐫𝐚𝐣𝐞𝐜𝐭𝐨𝐫𝐲: the listing explicitly frames this as a PPO pipeline — performance-based conversion to full-time — making it a genuine pathway into a full-time SDE role at a growing startup rather than a standalone internship experience

𝐂𝐨𝐦𝐩𝐞𝐧𝐬𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐧𝐭𝐞𝐱𝐭: Spyne hasn't disclosed a stipend for this role. SDE internships at funded early-stage AI startups in Gurugram typically range around ₹25,000–₹50,000/month depending on candidate strength and company funding stage, based on general market data for comparable startup SDE internships — this is an estimate only, and given the explicit premier-institute preference, compensation could be positioned toward the higher end for strong candidates.

𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲: Given the emphasis on "ownership" and "building real products" throughout this listing, prepare a specific example of a project where you owned something end-to-end (not just contributed to a group project) — even a personal full-stack build using React/Node deployed somewhere real is likely to resonate strongly here; and since immediate joining is preferred, be clear about your actual availability upfront to avoid mismatched expectations during screening.

Roles & Responsibilities

The responsibilities reflect genuine full-stack ownership rather than narrow task execution — interns are expected to work across the stack and take projects through to completion with mentorship support.

- Build and improve frontend/backend features using React.js and Node.js

- Develop and integrate REST APIs and backend services

- Work with databases and contribute to data-driven applications

- Convert product/UI requirements into functional, scalable features

- Debug issues, identify root causes, and improve application performance

- Participate in code reviews and follow engineering best practices

- Take ownership of assigned projects and deliver them end-to-end with mentorship

Qualifications & Eligibility

Notably explicit about institutional preference — worth reading carefully rather than assuming this is a fully open, no-filter listing.

- Pursuing or recently completed B.Tech/B.E./BS/MS in Computer Science, Engineering, or a related field

- Strong preference for candidates from IITs, NITs, BITS, NSUT, DTU, and other premier institutes

- Immediate joining preferred

Skills Required

Core technical requirements are genuinely fresher-accessible; the differentiators are strong DSA fundamentals and demonstrated ownership mindset rather than advanced or unusual technical asks.

- Good understanding of Data Structures & Algorithms and core programming concepts

- Strong JavaScript fundamentals; exposure to React.js and/or Node.js

- Basic understanding of REST APIs and databases

- Familiarity with Git/GitHub

- Plus: HTML/CSS understanding and exposure to cloud platforms such as AWS