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Salary
≈ $21k – $43k per year (Estimated)
Location
In office (Chennai)
Experience
6+ years exp
Employment
Full-Time

First seen by Alion on Sep 28, 2026.

Overview
Company
Impact
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Dynamic software development and IT staffing firm. +91 414 335 9877.
Job Description - Full Stack AI / GenAI Engineer

Role: Full Stack AI / GenAI Engineer

Experience: 6+ Years

Location: Chennai

Shift timing: 2PM - 11 PM

Job Summary

We are looking for a hands-on Full Stack AI / GenAI Engineer with strong experience in frontend and backend development, Generative AI, Agentic AI, system design, and API/integration development.

The ideal candidate should be capable of designing and developing scalable applications that combine modern full-stack technologies with GenAI and Agentic AI capabilities.

Key Responsibilities
  • Design and develop responsive and scalable frontend applications using modern frameworks such as React, Angular, or similar technologies.
  • Develop robust backend services, microservices, and business logic using technologies such as Python, Java, Node.js, or .NET.
  • Build and integrate Generative AI/LLM-based applications using OpenAI, Azure OpenAI, Claude, Gemini, Llama, or similar platforms.
  • Develop RAG-based applications, prompt workflows, embeddings, vector search, and LLM-powered solutions.
  • Design and implement Agentic AI solutions using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar technologies.
  • Develop AI agents capable of tool/function calling, workflow orchestration, decision-making, and multi-step task execution.
  • Design scalable and reliable application architectures for AI-powered and enterprise applications.
  • Develop and integrate REST APIs, GraphQL APIs, webhooks, and third-party APIs.
  • Implement authentication and security mechanisms such as OAuth 2.0, JWT, and API security.
  • Integrate frontend, backend, AI services, databases, enterprise applications, and third-party systems.
  • Participate in system design, architecture discussions, technical decisions, and performance optimization.
  • Ensure applications are scalable, secure, maintainable, and production-ready.



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