Full Stack AI Application Engineer

🚀 Hiring: Full Stack AI Application Engineer 📍

Location:
Pune 🏢 Work Mode: Hybrid 💼

Experience:
5+ Years ⏳ Employment Type: (Contract) 📅 Notice Period: Immediate Joiners to 15 Days

About the Role
We are looking for a skilled Full Stack AI Application Engineer to join our Platform & Operations Automation team in Pune. The ideal candidate will have strong experience in full-stack development using Node.js and React, along with hands-on expertise in integrating Large Language Models (LLMs) and AI APIs into production applications. You will be responsible for developing and maintaining AI-powered internal applications, building backend APIs, creating responsive frontend interfaces, and implementing LLM-driven automation workflows. This is an excellent opportunity for engineers passionate about combining modern full-stack technologies with practical AI applications.

Key Responsibilities
• Design, develop, and maintain AI-powered applications using Node.js and React.
• Integrate LLM APIs for text generation, conversational AI, and automated workflows.
• Develop REST APIs and Server-Sent Events (SSE) for real-time AI response streaming.
• Build responsive and user-friendly frontend interfaces using React.
• Integrate third-party APIs, including documentation and collaboration platforms.
• Develop and maintain prompt and instruction files for AI-driven workflows.
• Build, deploy, and troubleshoot Dockerized applications.
• Follow Git workflows, participate in code reviews, and maintain coding standards.
• Utilize AI-assisted development tools such as Claude Code, GitHub Copilot, and Cursor.
• Review and validate AI-generated code for quality, security, and maintainability.
• Collaborate with product managers and engineering teams to deliver reliable, scalable solutions. Mandatory Technical Skills
• 5+ years of full-stack development experience.
• Strong hands-on experience with Node.js, React, JavaScript, and Express.js.
• Practical experience integrating LLM / AI APIs into applications.
• Strong understanding of REST API development and integration.
• Experience with Docker, containerization, and basic troubleshooting.
• Good understanding of Git, branching, pull requests, and code reviews.
• Experience with prompt engineering or maintaining LLM instruction files.
• Understanding of system design, API architecture, and database fundamentals.
• Knowledge of application security, authentication, authorization, and API security.
• Familiarity with logging, monitoring, debugging, and production support. System Design & Architecture Candidates should have a good understanding of:
• Monolithic, microservices, and event-driven architectures.
• API-first architecture and asynchronous communication.
• Horizontal and vertical scaling, stateless services, and load balancing.
• Relational and NoSQL databases, indexing, and query optimization.
• System architecture diagrams, sequence diagrams, and data flow diagrams.
• LLM architecture, prompt pipelines, RAG, and inference workflows.
• Docker deployment architecture and environment configurations.
• Application security and production observability. Good to Have
• Experience in AI Agent development and multi-step AI workflows.
• Exposure to OpenAI, Anthropic, AWS Bedrock, or other LLM provider APIs.
• Hands-on experience with RAG (Retrieval-Augmented Generation).
• Familiarity with AI agent frameworks and Model Context Protocol (MCP).
• Experience with CI/CD pipelines such as GitHub Actions or GitLab CI.
• Knowledge of Tailwind CSS.
• Experience integrating Confluence or other documentation platform APIs.
• Experience working with international or distributed teams. Ideal Candidate Profile We are looking for a hands-on engineer with strong full-stack fundamentals and a genuine interest in building AI-powered applications. The candidate should be comfortable integrating LLMs into real-world applications, understanding system design concepts, and using AI-assisted coding tools effectively while ensuring code quality and security. 📩 Apply now or share this opportunity with relevant professionals in your network