Full Stack AI Engineer | Global AI-Driven Enterprise Search SaaS | Agentic AI, LLMs, JavaScript, Python, Cloud

About the Company

A global SaaS and digital transformation powerhouse delivering AI-driven enterprise search and support platforms. The organization helps Fortune 100 companies and fast-scaling enterprises unlock knowledge, reduce case resolution time, and boost customer engagement using Agentic AI, NLP, and federated search. With a strong global footprint and deep partnerships across cloud, CRM, and marketing ecosystems, the company builds intelligent products that save enterprises millions while redefining digital support experiences.

Role Overview

As a Full Stack AI Engineer, you’ll build the core foundation of Agentic AI-powered enterprise solutions. This is a true end-to-end role-spanning frontend, backend, APIs, databases, and AI integrations-focused on creating autonomous AI agents that reason, plan, and execute tasks to transform customer support and internal productivity.

What You’ll Do

• Design and build scalable Agentic AI features powering intelligent, autonomous workflows

• Develop end-to-end solutions from UI flows to backend orchestration and AI integrations

• Integrate LLMs, NLP models, and reasoning engines into enterprise-grade products

• Build AI-driven demos and POCs for real-world customer use cases

• Collaborate with Product, ML, and Design teams to convert ideas into production-ready features

• Design and consume REST/GraphQL APIs for AI-enabled systems

• Ensure high code quality through unit, integration, and API testing

• Participate actively in Agile ceremonies and sprint execution

• Stay ahead of AI, LLM, and full-stack engineering trends

What You Bring

• 3–5 years of full-stack software development experience

• Hands-on experience building AI products, preferably Agentic AI or support automation solutions

• Strong programming skills in JavaScript, TypeScript, Python, Node.js

• Experience integrating AI/ML models via APIs

• Solid understanding of relational and NoSQL databases

• Exposure to cloud platforms (AWS, GCP preferred)

• Experience across industries like BFSI, healthcare, telecom, or retail is a plus

Why This Role

• Build next-gen AI agents used by global enterprises

• Work at the intersection of AI innovation and enterprise SaaS

• High ownership, real-world impact, and fast-paced product delivery

• Opportunity to shape the future of AI-powered customer support platforms

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