IndiaMART Off Campus Drive 2026: Associate Engineer

IndiaMART Off Campus Drive 2026 – Details:

Detailed Eligibility:

Associate Engineer:

Eligibility Criteria:

• 10th & 12th: 85% and above in one & 90% and above in the other
• B.E./B.Tech in CS / IT / AI-ML / Data Science / Data Analytics / Data Engineering / Cyber Security
• Minimum 60% in Graduation

Skillset Required:

• Hands-on exposure to AI tools such as Cursor, Copilot, Claude, ChatGPT, or similar platforms
• Strong CS fundamentals — Python, data structures, algorithms, system design thinking
• Good understanding of data structures, algorithms, and software engineering concepts
• Familiarity with SDLC, software testing, and development best practices

Signals We Love:

• Hackathon participation or wins — shows initiative, agency, and ability to build under pressure
• Active side projects, open-source contributions, or a strong GitHub profile
• Ability to pick up unfamiliar tools and frameworks rapidly using AI
• Speed-first mindset — you ship, iterate, and improve rather than over-plan
• Comfort with ambiguity — you figure things out, fast

Key Responsibility Areas: You won’t be writing research papers. You’ll be shipping real products — using AI as your multiplier. Think: Cursor, Copilot, Claude, LLM APIs, MCP, and whatever drops next week.

• Participate in all phases of the Software Development Life Cycle (SDLC), including planning, development, testing, deployment, and maintenance
• Build product features, internal tools, and intelligent workflows serving millions of users
• Develop AI agents and automated workflows using LLM APIs and AI frameworks
• Prototype and ship solutions rapidly using AI-assisted development tools
• Implement and maintain data pipelines for AI/ML systems
• Conduct code reviews and follow software engineering best practices
• Design feedback loops and monitoring systems to improve AI system performance

Role Overview:

• You will work closely with experienced Product and Engineering teams while gaining hands-on exposure to technologies like LLMs, agentic systems, AI-assisted development tools, automation frameworks, and scalable software systems problems at genuine B2B scale.

• 10th & 12th: 85% and above in one & 90% and above in the other
• B.E./B.Tech in CS / IT / AI-ML / Data Science / Data Analytics / Data Engineering / Cyber Security
• Minimum 60% in Graduation