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AI Agentic Engineer / AI Developer

AvyaTech -
Noida, Uttar Pradesh

Apply Now

Job details

Full-time

Qualifications

CI/CD
Elasticsearch
Azure
Node.js
Law
MCP
React
Kubernetes
Software deployment
Enterprise Software
Laravel
ERP systems
Git
MongoDB
Master's degree
Databases
Microservices
PHP
OS Kernels
AWS
Analysis skills
Docker
JavaScript
PostgreSQL
Continuous integration
Redis
Human resources
REST
Mentoring
Django
Software development
GitHub
APIs
HRIS
AI
TypeScript
Communication skills
Python

Full job description

Noida

5-8 years

1 Position

Job Information

Responsibilities

Skills & Abilities

Interview Process

Job Information

Avya Technology Pvt. Ltd. is seeking an experienced AI Agentic Engineer / Senior AI Developer to build intelligent applications powered by Large Language Models (LLMs), Agentic AI workflows, and modern full-stack technologies. The ideal candidate will possess strong expertise in Node.js, Next.js, Python, Generative AI, AI Agent Development, and enterprise application architecture. This role focuses on developing AI-powered solutions capable of reasoning, planning, tool utilization, workflow orchestration, memory management, and autonomous task execution. The successful candidate will play a key role in designing and delivering next-generation AI applications, enterprise copilots, automation platforms, and intelligent business solutions.

Key Highlights

5–8 years of professional software development experience.

Strong expertise in Node.js, Next.js, and Python.

Hands-on experience with OpenAI, Azure OpenAI, Anthropic Claude, Gemini, or similar LLM platforms.

Experience building AI Agents, Agentic Workflows, and Multi-Agent Systems.

Experience with AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar technologies.

Strong knowledge of REST APIs, Microservices Architecture, and Cloud Platforms.

Familiarity with PHP and Laravel Framework is considered an advantage.

Experience using AI-powered development tools such as GitHub Copilot, Cursor AI, Claude Code, ChatGPT, and Windsurf.

Tech Stack

Core Technologies: Node.js, Next.js, Python, React.js, TypeScript, FastAPI, Django

Generative AI & LLMs: OpenAI, Azure OpenAI, Claude, Gemini

AI Frameworks & Agentic AI: LangChain, LangGraph, CrewAI, AutoGen

Vector Databases & RAG: Pinecone, ChromaDB, Weaviate

Databases: PostgreSQL, MongoDB, Redis

Cloud & DevOps: AWS, Azure, Docker, Git, CI/CD

AI Development Tools: GitHub Copilot, Cursor AI, Claude Code, Windsurf

Good to Have: PHP, Laravel

Employment Details

Employment Type: Full time

Work Mode: Onsite

Responsibilities

As a key member of our team, you will:

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 APIs, databases, cloud platforms, and enterprise systems.

Develop scalable backend services using Python and Node.js.

Build modern and responsive web applications using Next.js and React.js.

Monitor AI application performance, cost, quality, and reliability.

Implement logging, evaluation frameworks, guardrails, and responsible AI practices.

Collaborate with Product, Design, QA, and Business teams to deliver innovative AI-driven solutions.

Participate in architecture discussions, code reviews, and technical decision-making.

Design, develop, and maintain RESTful APIs and microservices.

Skills & Abilities

Must-Have Skills

Minimum 5+ years of software development experience.
Strong expertise in Node.js, Next.js, and Python.
Hands-on experience integrating OpenAI, Claude, Gemini, Azure OpenAI, or similar LLM platforms.
Experience building AI-powered applications, AI Agents, and intelligent automation solutions.
Strong understanding of Prompt Engineering and Large Language Models (LLMs).
Experience implementing Retrieval-Augmented Generation (RAG) architectures.
Experience with Vector Databases such as Pinecone, ChromaDB, Weaviate, FAISS, or Milvus.
Experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar frameworks.
Strong understanding of REST APIs, Microservices, and Cloud-based architectures.
Experience with AWS, Azure, Docker, Git, and CI/CD pipelines.
Familiarity with GitHub Copilot, Cursor AI, Claude Code, ChatGPT, and AI-assisted development tools.
Excellent communication, analytical, and problem-solving skills.

Good-to-Have Skills

PHP and Laravel Framework.
Multi-Agent Coordination and Agent Orchestration.
MCP (Model Context Protocol).
Kubernetes and Container Orchestration.
SaaS Product Development.
Enterprise Software Architecture and System Design.
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.

Soft Skills

Strong analytical and critical-thinking abilities.

Excellent communication and collaboration skills.

Leadership and mentoring capabilities.

Ownership mindset and accountability.

Ability to work independently and manage multiple priorities.

Passion for innovation and continuous learning.

Strong focus on quality, performance, and customer success.

Assessment Criteria: You will be evaluated on technical depth, system design thinking, coding best practices, and cultural fit.

Interview Process

Application Review

Screening profiles matching role requirements

1-3 days

Recruitment Team

HR Screening

Introductory discussion about experience and fit

20-30 mins

HR Recruiter

Technical Assessment

Evaluate technical expertise

30-60 mins

Technical Team

Final Interview

Meeting with management for final evaluation

45-60 mins

Senior Management

Offer & Onboarding

Selection, offer release, and smooth joining process

3-5 days

Why Join Us?

Perks Of Joining Avya Technology

Enjoy flexibility, continuous learning, and a workplace where every voice matters.

Hybrid Work

Remote or Office

Flexible Timings

Work-life balance

Training

Continuous learning

Team Building

Team Spirit Activities

Rewards & Recognition

Celebrate Success

Paid Certifications

Professional Certification Support

Apply Now

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Job Information

Key Highlights

Tech Stack

Employment Details

Responsibilities

Skills & Abilities

Must-Have Skills

Good-to-Have Skills

Soft Skills

Interview Process

Application Review

HR Screening

Technical Assessment

Final Interview

Offer & Onboarding

Perks Of Joining Avya Technology

Hybrid Work

Flexible Timings

Training

Team Building

Rewards & Recognition

Paid Certifications