Walk-in || Full stack- AI

We're Hiring: Senior Full Stack Engineer - AI-Native Applications
Join us to build cutting-edge Conversational AI and Agentic AI solutions using React, Node.js/Python, Cloud, and DevOps technologies. Lead

Experience: 7+ years in Full Stack Development
AI Experience: 1+ year of experience building Conversational AI and Agentic AI applications
Core Stack: React + Node.js and/or Python, with strong System Design skills
Cloud (Mandatory): Cloud-native experience on Google Cloud Platform (GCP), AWS, or Azure
DevOps (Mandatory): Hands-on experience with CI/CD, Containers, Infrastructure Automation, and Production Deployments
Reporting To: Architect AI-Native Applications / Delivery Head

Role summary

We are looking for a hands-on Fullstack Lead who builds AI-native applications end to end, from React front ends to agentic back ends. You will lead a small engineering pod, shape solutions with clients, and own delivery of production-grade conversational and agentic AI products. You bring deep knowledge of at least one business domain and turn its problems into well-designed software.

Key responsibilities

• Lead design and development of fullstack applications using React with Node.js or Python back ends.
• Build conversational AI and agentic AI features using LangChain (and LangGraph or similar), including tool calling, RAG, memory and multi-step workflows.
• Translate business requirements into technical solutions, estimates and delivery plans; contribute to proposals and solution walkthroughs.
• Own application design: APIs, data models, front-end architecture, prompt and agent design, and integration with LLM providers.
• Deploy and run applications on cloud-native platforms (GCP, AWS or Azure) using containers, serverless, managed AI services and CI/CD.
• Lead, mentor and review the work of a team of 48 engineers; set coding standards and drive engineering best practices.
• Ensure quality, security, observability and cost-efficiency of AI applications, including LLM evaluation, guardrails and monitoring.
• Act as the main technical point of contact for client stakeholders; communicate progress, risks and trade-offs clearly.
• Apply domain expertise to identify high-value AI use cases and shape product direction.

Required skills and experience

• 7+ years of professional software development, with solid fullstack delivery experience.
• Strong expertise in React (hooks, state management, TypeScript) and Node.js and/or Python (FastAPI, Express, NestJS or similar).
• Minimum 1 year of hands-on experience building conversational AI and agentic AI applications using LangChain.
• Working knowledge of LLMs (OpenAI, Anthropic Claude, Gemini or similar), prompt engineering, embeddings, vector databases and RAG patterns.
• Must have cloud-native experience on at least one of Google Cloud, AWS or Azure.
• Mandatory hands-on DevOps experience, including CI/CD pipelines, containerization, infrastructure automation, release management and production monitoring.
• Expertise in at least one business domain (e.g., BFSI, healthcare, retail, manufacturing, logistics, telecom).
• Proven track record of delivering projects on time and to quality, ideally in client-facing or consulting environments.
• Solutioning mindset: able to break down ambiguous problems and propose pragmatic, scalable solutions.
• Excellent design skills across system design, API design and UI/UX sensibility.
• Excellent written and verbal communication skills.

Nice to have

• Experience with LangGraph, LlamaIndex, CrewAI, AutoGen or Model Context Protocol (MCP).
• Exposure to LLMOps tooling such as LangSmith, Langfuse or Arize.
• Cloud certifications (AWS, Azure or Google Cloud).
• Experience with Agile/Scrum delivery and team leadership in distributed teams.

Education

Bachelor's or master's degree in computer science, engineering or a related field, or equivalent practical experience.