Experience
5 - 8 yrs
Job Location
Noida, India
Vacancy
1
Designation
AI Engineer
Job Type
ONSITE
Job Description
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.
- 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 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.
- 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.
- 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.
- 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.