AI Engineer

• *JOB OVERVIEW**

We are looking for AI Engineer (preferably from IITs) to drive the design, development, and deployment of scalable AI\-powered solutions across our products and platforms.

Responsibility

• Design, develop, and maintain scalable applications
• Collaborate with product and cross\-functional teams
• Drive best practices in coding, architecture, and deployment
• Mentor a team of software engineers AI \& Product Development
• Build and deploy production\-grade AI/ML solutions leveraging modern frameworks and LLMs Design and implement scalable architectures including RAG pipelines, AI agents, and intelligent workflows Develop AI\-powered applications using OpenAI, Azure AI, and emerging AI platforms
• Deliver impactful features Platform \& Infrastructure Develop and maintain APIs, microservices, and full\-stack applications (React, Node.js) Implement CI/CD pipelines and manage cloud infrastructure (AWS / Azure / GCP) Ensure high performance, scalability, and reliability in production systems Innovation
• Stay current with GenAI trends and rapidly evolving technologies Drive POCs and introduce innovative AI\-driven solutions into the product ecosystem Engineering Drive technical design, architecture decisions, and end\-to\-end delivery of scalable systems Conduct code reviews and guide best practices across development teams
• Foster a culture of ownership, innovation, and continuous improvement

• *Preferred Requirements**

• 2\-3 years of software engineering experience with at least 1 year(s) experience in lead role
• Strong hands\-on experience in Python and AI/ML frameworks Experience with LLMs, RAG pipelines, and AI application architecture Proficiency in APIs, microservices, and cloud platforms
• Strong problem\-solving, communication, and leadership skills
• Experience with LangChain, LlamaIndex, or similar frameworks Exposure to GenAI, AI agents, and MLOps practices
• Experience with vector databases and AI observability tools

Pay: ₹800,000\.00 \- ₹1,500,000\.00 per year

Benefits

• Food provided
• Leave encashment
• Paid sick time
• Paid time off

Work Location: In person