AI Engineer (LLMs, Agents & Automation)

About the Role

We are looking for a hands-on AI Engineer with strong experience in LLMs, AI agents, and workflow automation. This role focuses on building AI-driven systems, agents, and business automations, not training ML models from scratch.

You’ll design intelligent agents, orchestrate workflows using n8n, flowise, langchain, or langGraph, and integrate AI into real-world business applications.

Key Responsibilities

• Design, build, and deploy AI agents capable of reasoning, decision-making, and tool usage
• Develop and maintain n8n workflows for AI-driven automation
• Build LLM-powered applications such as chatbots, assistants, and process automation tools
• Implement prompt engineering, agent memory, and multi-step reasoning flows
• Build RAG (Retrieval-Augmented Generation) pipelines
• Integrate AI systems with:
• Internal tools (CRM, ERP, databases)
• Third-party APIs and services
• Develop and consume REST APIs using FastAPI or Flask
• Monitor, debug, and optimize AI agents and automation workflows
• Ensure reliability, scalability, and performance of AI systems
• Document workflows, agent logic, and integrations

Required Skills & Experience

• 1+ years of professional experience as an AI Engineer, GenAI Engineer, or Automation Engineer
• Strong proficiency in Python
• Good understanding of data handling and ML fundamentals
• Hands-on experience with LLMs (OpenAI, Azure OpenAI, Hugging Face, etc.)
• Strong prompt engineering skills
• Experience with AI agent frameworks, such as:
• LangChain, LangGraph, LangBase
• LlamaIndex
• Proven experience with n8n workflow automation, including:
• Webhooks
• Event-driven workflows
• Cron-based workflows
• Experience integrating APIs, databases (SQL / NoSQL), and AI services
• Experience with vector databases (FAISS, Pinecone, Weaviate, etc.)
• Self-hosted n8n deployments
• Familiarity with Docker and basic cloud deployments
• Experience with Zapier or Make.com

Nice to Have

• Understanding of MLOps concepts

Soft Skills

• Strong problem-solving mindset
• Ability to explain AI concepts to non-technical stakeholders
• Good communication and teamwork skills
• Self-driven and eager to learn

Location: Onsite
Job Type: Full-time

Job Type: Full-time

Pay: Up to Rs1,200,000.00 per year

Application Question(s):

• What is your current & expected salary? Failing to address this question will result in rejection.

Experience:

• AI Engineer: 1 year (Required)

Work Location: In person