We are looking for a Software Intern who lives and breathes problem-solving. This is a hands-on engineering internship where strong fundamentals matter more than the longest tool list on your resume. You will work alongside senior engineers on real production systems, ship code that ships to customers, and be exposed to modern AI-assisted development workflows from day one.

Strong DSA, clean problem-solving, and the ability to think from first principles are non-negotiable. AI tools (Cursor, Claude Code, Codex) are a force multiplier — but only for engineers who already think clearly. If you can reason through a problem on a whiteboard before reaching for the LLM, we want to talk to you.

Who Are We Looking For?

We are seeking passionate and driven individuals with:

Must-Have (Non-Negotiable)

• Strong knowledge of Data Structures and Algorithms (DSA): Arrays, strings, hashmaps, trees, graphs, recursion, dynamic programming, sorting and searching — you should be able to pick the right one for the problem, not just recall definitions.
• Proven problem-solving ability: A track record of solving complex problems with structured, logical thinking — be it competitive programming, hackathon wins, open-source contributions, or substantial personal projects.
• Solid programming fundamentals: Object-oriented concepts, time and space complexity analysis, debugging, and writing code that another engineer can read six months later.
• Hands-on coding experience: Demonstrated through GitHub projects, hackathons, internships, competitive programming profiles (Codeforces, LeetCode, CodeChef), or shipped side projects.
• Analytical and debugging skills: The ability to read a stack trace, form a hypothesis, isolate the bug, and explain it back clearly.
• Eagerness to learn: A proactive attitude towards new technologies, frameworks, and engineering practices — you should be the kind of person who reads docs before asking, and asks sharp questions when you do.
• Academic background: Currently pursuing or recently graduated with a degree in Computer Science, Engineering, or a related field from a Tier-1 college.

Good to Have (AI Flavour)

If you have these, we are doubly excited — but they are not gating. Strong DSA fundamentals come first; AI exposure is a multiplier on top.

• Hands-on experience with AI-assisted coding tools — Cursor, Claude Code, or Codex— used in actual projects, not just experiments.
• Familiarity with LLM APIs (OpenAI, Anthropic, Gemini) and the ability to build a working application that calls them.
• Exposure to prompt engineering, RAG (Retrieval-Augmented Generation), or vector databases (Pinecone, Qdrant, Chroma, pgvector) through a project or hackathon.
• A built-and-shipped AI side project — even a small one — with a public GitHub link or live deployment.
• Participation in AI/ML hackathons (Google Gen AI Exchange, IndiaAI, Lablab.ai, Smart India Hackathon) or open-source contributions to AI/ML repositories.
• Awareness of where AI helps and where it does not — the ability to articulate when you would not use AI assistance.

What You Will Do

• Build features end-to-end alongside senior engineers — from problem definition to production deployment.
• Solve real engineering problems where the answer is not on Stack Overflow.
• Write clean, tested, reviewable code that meets our production bar.
• Participate in code reviews — give them, receive them, and grow from both.
• Use modern AI-assisted development workflows (Cursor, Claude Code, Codex) responsibly and explain your reasoning.
• Take ownership of small modules or experiments and drive them to completion.
• Document what you build so the next engineer who touches it can move fast.

With Payoneer WFM, You Will Have

• Ownership: You will own what you do. We are a results-driven team, which means we expect you to get things done.
• Endless support: You will always have the help you might need and the resources you need to deliver.
• Experiment: This is your playground. Come up with ideas, pitch them, and take initiative. You will have a free hand to execute exciting ideas.
• Impact: Be a part of a world-class team where we are constantly working on something new and maximise the impact of the products we build.
• Modern AI toolkit: Access to Cursor, Claude Code, ChatGPT, and other premium AI engineering tools from day one — the same stack our senior engineers use.
• Mentorship: Direct working relationships with senior engineers and tech leads who will invest in your growth.

We hire for sharp minds, not long resumes. If that sounds like you, apply.