Full-Stack AI Engineer

Weekday AI; Chennai; Hybrid; INR 700,000 - 1,300,000; Full time

Job summary

Weekday is seeking a Full-Stack AI Engineer to help build AI-powered web applications. You will design responsive front‑ends with React.js and TypeScript, and leverage Next.js for server‑side rendering and edge computing, while integrating LangChain pipelines and LangGraph workflows with LlamaIndex data pipelines to deliver intelligent solutions.

You will collaborate with product managers and data scientists to translate business needs into scalable, high‑performance software, maintain code

Qualifications

• 2+ years of professional experience building full‑stack applications with React.js and TypeScript.
• Hands-on experience with Next.js for SSR/edge rendering.
• Experience with LangChain, LangGraph, or similar AI orchestration frameworks.
• Experience with LlamaIndex or comparable data indexing solutions.

Responsibilities

• Design and implement reusable, modular components in React.js with TypeScript.
• Build and optimize Next.js pages, API routes, and middleware for performance and SEO.
• Develop and integrate LangChain pipelines for data ingestion, retrieval, and generation tasks.
• Design robust data pipelines using LlamaIndex to index, search, and retrieve data.
• Orchestrate conversational logic and state management with LangGraph.
• Ensure high code quality through code reviews, unit testing, and CI/CD pipelines.
• Troubleshoot and resolve production issues, monitoring application performance.
• Stay current with emerging AI frameworks and best practices.
• Collaborate with cross‑functional teams to define requirements and deliver on time.
• Contribute to documentation and internal tooling improvements.

Skills

React.js

TypeScript

Next.js

LangChain

LangGraph

LlamaIndex

REST API

GraphQL

OAuth/JWT

CI/CD

Tools

Git

CI/CD tools

AWS

Job description

This role is for one of the Weekday's clients

Salary range: Rs 700000 - Rs 1300000 (ie INR 7-13 LPA)

Experience: 2+ yrs

Location: Chennai, Bangalore

As a Full-Stack AI Engineer, you will join a dynamic team focused on building cutting‑edge AI‑powered web applications. You will architect and develop responsive front‑ends with React.js and TypeScript while leveraging Next.js for server‑side rendering and edge computing. Your role will involve integrating large language models using LangChain, orchestrating complex conversational flows with LangGraph, and managing data pipelines with LlamaIndex to deliver intelligent, data‑driven experiences. You will collaborate closely with product managers and data scientists to transform business requirements into scalable, high‑performance solutions that meet stringent performance and usability standards.

Key Responsibilities

• Design and implement reusable, modular components in React.js with TypeScript.
• Build and optimize Next.js pages, API routes, and middleware for performance and SEO.
• Develop and integrate LangChain pipelines for data ingestion, retrieval, and generation tasks.
• Design robust data pipelines using LlamaIndex to index, search, and retrieve structured data.
• Orchestrate conversational logic and state management with LangGraph.
• Ensure high code quality through code reviews, unit testing, and CI/CD pipelines.
• Troubleshoot and resolve production issues, monitoring application performance and usage metrics.
• Stay current with emerging AI frameworks, libraries, and best practices.
• Collaborate with cross‑functional teams to define requirements, estimate effort, and deliver on time.
• Contribute to documentation, knowledge sharing, and internal tooling improvements.

What Makes You a Great Fit

• 2+ years of professional experience building full‑stack applications with React.js and TypeScript.
• Strong understanding of Next.js performance optimizations and deployment strategies.
• Hands‑on experience with LangChain, LangGraph, or similar AI orchestration frameworks.
• Proven ability to design and implement LlamaIndex or comparable data indexing solutions.
• Experience with RESTful/APIs, GraphQL, JSON‑API, and authentication mechanisms (OAuth, JWT).
• Familiarity with unit testing, integration testing, and test‑driven development.
• Comfortable working with version control (Git), CI/CD pipelines, and cloud platforms (AWS, GCP, Azure).
• Excellent communication skills, able to translate technical concepts to non‑technical stakeholders.
• Ability to work independently and as part of a cross‑functional, agile team.
• Passion for emerging AI technologies and a willingness to experiment and iterate.