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Open nowPosted 90 days ago

Full Stack AI Developer Intern

Datastraw16 open roles

Where
Mumbai
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Your applicationOpen nowFull Stack AI Developer InternDatastraw · Mumbai

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Datastraw's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 90 days ago

The posting

Location: Ghatkopar West, Mumbai

Work Model: Hybrid (4 Days Work From Office + 2 Days Work From Home)

Work Schedule: Monday to Saturday

Shift Timings: 10:00 AM - 7:00 PM IST

Stipend: ₹6,000 per month (Pre-Placement Offer)

About Datastraw

Datastraw helps fast-growing D2C and e-commerce brands scale their operations through skilled teams, AI-powered solutions, and intelligent automation. We partner with businesses to streamline customer support, optimize backend operations, and build technology that drives efficiency, enhances customer experience, and accelerates growth.

About the Role

We are looking for a passionate Full Stack AI Developer Intern who is excited about Artificial Intelligence, automation, and modern software development. This is a 6-month internship where you'll work on real-world AI products, intelligent automations, and scalable applications that directly impact business operations.

You won't be working on dummy assignments, you'll collaborate on live projects, build production-ready solutions, and gain hands-on experience with cutting-edge AI technologies, automation platforms, APIs, and full-stack development. If you're someone who enjoys solving problems, learning quickly, and building innovative products, we'd love to have you on our team.

What You’ll Do

  • Build AI agents, automations, and integrations using n8n, APIs, and webhooks.
  • Build ETL pipelines and AI-powered workflows to collect, process, and transform data.
  • Develop modern web applications, internal tools, and dashboards with React/Vue and Supabase.
  • Use AI-assisted development tools and vibe coding workflows to rapidly build internal tools and dashboards.
  • Analyze data to identify opportunities and build smarter AI solutions and automations.
  • Manage projects through the full development lifecycle, from planning to deployment.

Must Have Skills

  • Familiarity with at least one programming language, such as JavaScript or Python.
  • Good understanding of databases, APIs, and modern web application architecture.
  • Strong learning mindset with the ability to adapt quickly and solve problems independently.
  • Ability to leverage AI tools like ChatGPT and Claude to learn, build, and solve problems effectively.
  • Ability to work independently, take ownership, and deliver high-quality work.

Good to Have

  • Experience with React, Vue, or similar frontend frameworks, and familiarity with Supabase, Firebase, or PostgreSQL.
  • Exposure to automation platforms such as n8n, Make, Zapier, and similar tools for building workflows and automations.
  • Experience building side projects or contributing to open-source projects is a plus.
  • Basic understanding of data analysis, dashboards, or reporting tools like Looker Studio or Power BI.
  • Familiarity with D2C or e-commerce operations, metrics, and growth KPIs is a plus.

Tech Stack & Tools:

Supabase, React/Vue, n8n, PostgreSQL, REST APIs, Webhooks, Looker Studio, Google Sheets, Claude API, ETL Pipelines, AI tools (Claude, ChatGPT, etc.).

Why Join Datastraw?

  • Work on real-world AI, automation, and product development projects that create measurable business impact.
  • Gain hands-on experience with modern AI tools, full-stack development, APIs, and automation platforms.
  • Learn rapidly through ownership, mentorship, and real production challenges.
  • High-performing interns may receive a Pre-Placement Offer (PPO) based on their performance and contributions.
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