AI Automation Engineer – MERN Stack & LLM Integrations

What You’ll Be Doing

• Develop web applications using MongoDB, Express.js, React.js, and Node.js.
• Integrate OpenAI, Claude, and Gemini APIs into applications.
• Build AI agents and automated workflows using n8n or Make.
• Implement prompt engineering, structured outputs, and function calling.
• Develop AI-powered features for internal tools and client applications.
• Connect REST APIs, webhooks, and third-party business applications.
• Explore RAG pipelines, embeddings, and vector database integrations.
• Use AI coding assistants to accelerate development and debugging.
• Test AI outputs, troubleshoot errors, and improve response reliability.
• Document workflows, API integrations, and implementation steps.
• Research emerging AI frameworks and recommend practical use cases.

What You Bring to the Table

• B.Tech/B.E. in CSE, IT, or a related discipline; 0–3 years of experience.
• Foundational knowledge of JavaScript, TypeScript, React.js, and Node.js.
• Understanding of MongoDB, REST APIs, and backend integration.
• Hands-on familiarity with OpenAI, Claude, or Gemini APIs.
• Exposure to n8n, Make, Zapier, or similar automation platforms.
• Understanding of prompt engineering, JSON outputs, and API authentication.
• Familiarity with AI agents, RAG, embeddings, or vector databases is an advantage.
• Experience using Git, GitHub, and AI coding assistants.
• Ability to debug code and validate AI-generated outputs.
• Strong logical reasoning, problem-solving, and independent learning skills.
• Good written and spoken English for technical collaboration.

Required Skills

JavaScript | React.js | Node.js | MongoDB | REST APIs | LLM APIs | OpenAI | Claude | Gemini | Prompt Engineering | AI Agents | n8n | Workflow Automation | Git | AI-Assisted Development

Experience

0–3 Years

Department

Research and Development