AI Agentic Engineer /AI Developer (Immediate Joiner)

Vibehackers; India; On-site; INR 2,500,000 - 5,500,000; Full time

Job summary

Avya Technology is seeking an AI Agentic Engineer/AI Developer to design, build, and deploy AI-powered applications and intelligent agent workflows using LLMs, modern back‑end services, and web technologies.

You will focus on agent development, RAG architectures, prompt engineering, and enterprise system integration, with emphasis on scalable Python/Node.js back‑ends and Next.js/React front-ends.

Qualifications

• Minimum 5+ years of software development experience.
• Strong expertise in Node.js, Next.js, and Python.
• Hands-on experience integrating with LLM platforms and building AI-powered agents.

Responsibilities

• Design, develop, and deploy AI-powered applications and intelligent software solutions.
• Build AI agents capable of reasoning, planning, decision-making, and autonomous task execution.
• Develop single-agent and multi-agent workflows for business automation use cases.
• Design and optimize prompts to improve AI performance, accuracy, and reliability.
• Implement advanced AI patterns such as ReAct, Planner-Executor, Tool Calling, Reflection Loops, and Agent Orchestration.
• Develop Retrieval-Augmented Generation (RAG) systems using vector databases and enterprise knowledge repositories.
• Integrate AI agents with external APIs, databases, cloud platforms, and enterprise systems.
• Develop scalable backend services using Python and Node.js, and build modern web frontends with Next.js and React.js.
• Design, develop, and maintain RESTful APIs and microservices.
• Monitor AI application performance, cost, quality, and reliability; implement logging, evaluation frameworks, guardrails, and responsible AI practices.
• Participate in architecture discussions, code reviews, and cross-functional collaboration with Product, Design, QA, and Business teams.

Skills

Node.js

Next.js

Python

LLMs

Prompt engineering

RAG architectures

Vector databases

LangChain

API design

Microservices

AWS/Azure

Docker

Git & CI/CD

Agent orchestration

Tools

LangChain

LangGraph

CrewAI

AutoGen

Semantic Kernel

Git

Docker

CI/CD tooling

Job description

AI Agentic Engineer /AI Developer (Immediate Joiner)

Building agentic AI systems and RAG pipelines; mentions AI-assisted dev tools like Cursor and Copilot, so expect strong AI tooling and developer-assistant usage.

About the Role

Build and deploy AI-powered applications and agentic workflows that enable reasoning, planning, tool usage, and autonomous task execution using LLMs and modern full-stack technologies. The role focuses on designing enterprise-grade AI agents, RAG systems, and scalable backend and web services.

Job Description

Role

Avya Technology is hiring an AI Agentic Engineer / AI Developer to design, build, and deploy AI-powered applications and intelligent agent workflows using LLMs, modern backend services, and web technologies. The position emphasizes agent development, RAG systems, prompt engineering, and integration with enterprise systems.

Key Responsibilities

• Design, develop, and deploy AI-powered applications and intelligent software solutions.
• Build AI agents capable of reasoning, planning, decision-making, and autonomous task execution.
• Develop single-agent and multi-agent workflows for business automation use cases.
• Design and optimize prompts to improve AI performance, accuracy, and reliability.
• Implement advanced AI patterns such as ReAct, Planner-Executor, Tool Calling, Reflection Loops, and Agent Orchestration.
• Develop Retrieval-Augmented Generation (RAG) systems using vector databases and enterprise knowledge repositories.
• Integrate AI agents with external APIs, databases, cloud platforms, and enterprise systems.
• Develop scalable backend services using Python and Node.js, and build modern web frontends with Next.js and React.js.
• Design, develop, and maintain RESTful APIs and microservices.
• Monitor AI application performance, cost, quality, and reliability; implement logging, evaluation frameworks, guardrails, and responsible AI practices.
• Participate in architecture discussions, code reviews, and cross-functional collaboration with Product, Design, QA, and Business teams.

Required Qualifications

• Minimum 5+ years of software development experience.
• Strong expertise in Node.js, Next.js, and Python.
• Hands-on experience integrating with LLM platforms such as OpenAI, Claude, Gemini, or Azure OpenAI.
• Experience building AI-powered applications, AI agents, and intelligent automation solutions.
• Strong understanding of prompt engineering and Large Language Models (LLMs).
• Experience implementing RAG architectures and working with vector databases.
• Familiarity with frameworks like LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel.
• Strong understanding of REST APIs, microservices, and cloud-based architectures.
• Experience with AWS, Azure, Docker, Git, and CI/CD pipelines.
• Familiarity with AI-assisted development tools (GitHub Copilot, Cursor AI, Claude Code, ChatGPT).
• Excellent communication, analytical, and problem-solving skills.

Good-to-have

• PHP and Laravel experience.
• Multi-agent coordination and agent orchestration experience.
• Kubernetes and container orchestration knowledge.
• SaaS product development and enterprise software architecture experience.
• AI safety, hallucination mitigation, and responsible AI practices.
• MLOps concepts and AI deployment pipelines.
• Elasticsearch and advanced search technologies.
• Experience integrating CRM, ERP, HRMS, or business applications with AI solutions.

Tech & Tools (explicitly mentioned)

• Languages & frameworks: Node.js, Next.js, Python, React.js, PHP, Laravel
• Vector databases: Pinecone, ChromaDB, Weaviate, FAISS, Milvus
• Agent & orchestration frameworks: LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel
• Dev tools & CI: Git, CI/CD, GitHub Copilot, Cursor AI, Claude Code, ChatGPT
• Patterns & architectures: RAG (Retrieval-Augmented Generation), RESTful APIs, Microservices, MLOps, Agentic AI workflows

Skills

Software Development AI Agent Development Prompt Engineering System Architecture Microservices Architecture REST API Development Cloud Architecture DevOps / CI-CD Vector Search / RAG MLOps Concepts Responsible AI / AI Safety Multi-team Collaboration Communication Analytical Problem Solving