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AI-Assisted Software Developer Intern

Riseup Labs190 open roles

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This job: first seen 32 hours ago

The posting

Job Context:

Riseup Labs is hiring an AI-Assisted Software Developer Intern who is comfortable working across the full stack but more importantly, who has already embraced AI-native ways of building software. This isn't a "learn to code" internship. We're looking for someone who already codes, and who uses AI agents and modern AI-assisted workflows as a core part of how they build, ship, and debug, not as a novelty.

You'll work alongside senior engineers on real client and internal product work, contributing across backend, frontend, database, infrastructure, and deployment — while helping us refine internal best practices for AI-assisted and agentic development.

Job Responsibilities:

  • Build and ship features across the full stack: backend services/APIs, frontend UI, database schemas, and deployment pipelines.
  • Use AI coding agents (Claude Code, GitHub Copilot, Cursor, or similar) as a primary development tool — not just autocomplete, but for planning, scaffolding, refactoring, and debugging.
  • Practice "vibe coding" responsibly: rapidly prototyping with AI assistance while still validating, testing, and understanding the code you ship.
  • Apply AIDLC (AI-Driven/Assisted Development Life Cycle) principles, using AI across requirements, design, coding, testing, and deployment stages, not just code generation.
  • Design and orchestrate simple AI agent workflows (multi-step agents, tool use, MCP servers) for internal or client use cases.
  • Write clean, maintainable code and documentation that a human (and an AI agent) can pick up and extend.
  • Participate in code reviews, sprint planning, and contribute to our evolving AI development playbook

Educational Requirements:

  • Currently completed a degree in CSE, Software Engineering, or a related field (or equivalent self-taught experience)

Additional Requirements:

  • Full-Stack FundamentalsBackend: Node.js, Python, or similar (REST/GraphQL API design, authentication, business logic) Frontend: HTML/CSS/JS with a modern framework (React, Vue, or similar) Database design: relational (PostgreSQL/MySQL) and/or NoSQL (MongoDB); schema design, indexing, basic query optimization Infra & Deployment: basic understanding of cloud platforms (Azure/AWS/GCP), Docker, CI/CD pipelines, and Git workflows
  • AI-Native Development SkillsDemonstrated hands-on experience "vibe coding" with AI tools (Claude, ChatGPT, Copilot, Cursor, etc.) — able to show projects or examples. Practical understanding of AI agent concepts: prompting, tool/function calling, context management, agent orchestration. Familiarity with AIDLC concepts, using AI meaningfully across the SDLC, not just for code snippets. Ability to critically evaluate AI-generated code (spot bugs, security issues, and bad patterns rather than accepting output blindly) Comfortable writing clear prompts/specs that get consistent, high-quality output from AI tools

Nice to Have

  • Exposure to MCP (Model Context Protocol) servers or building custom AI tools/integrations.
  • Experience with prompt engineering or fine-tuning.
  • A portfolio, GitHub, or personal projects that show AI-assisted build process.
  • Basic understanding of AI/ML concepts (even without formal ML background).

Workplace:

  • Uttara, Dhaka

Working hour:

  • 09.00 AM to 6.00 PM

What We Offer:

  • Direct mentorship from senior engineers and product leadership.
  • Hands-on exposure to Riseup Labs' AI product initiatives (agent marketplace, MCP-as-a-Service, and more).
  • Certificate of internship; strong performers may be offered full-time roles

Compensation & Other Benefits:

  • Paid Internship Opportunity
  • Full Subsidize Lunch
  • Unlimited Tea & Coffee
  • Weekly holiday (Saturday, Sunday)
  • Public Holidays as per Riseup Labs calendar

The Application Process:

  • Telephone Round.
  • Interview with the Business Development & Talent Acquisition Team.
  • Job Offer.

N.B.: Only shortlisted candidates will be communicated in the recruitment process.

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