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Artificial Intelligence Engineer

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Job Summary

We are looking for a hands-on AI Engineer with at least 2 years of professional experience in building AI agents and automated AI-driven workflows. The ideal candidate should have strong experience working with LLMs, AI agent frameworks, and n8n workflow automation, and be capable of integrating intelligent systems into real-world business applications.

Key Responsibilities

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

Required Skills & QualificationsExperience

  • Minimum 2 years of professional experience as an AI Engineer / ML Engineer / Automation Engineer

Core Technical Skills

  • Strong proficiency in Python
  • Experience with NumPy, Pandas, Scikit-learn
  • Solid understanding of data handling, statistics, and ML fundamentals

AI, LLMs & Agents

  • Hands-on experience building AI agents
  • Experience working with LLMs (OpenAI, Azure OpenAI, Hugging Face, etc.)
  • Strong prompt engineering skills
  • Experience with RAG (Retrieval-Augmented Generation) pipelines
  • Familiarity with agent frameworks such as:
  • LangChain
  • LlamaIndex
  • or similar tools

Automation & Workflows

  • Proven experience working with n8n workflow automation
  • Experience building:
  • Event-driven workflows
  • Webhook-based automations
  • Scheduled (cron) workflows
  • Ability to orchestrate workflows involving LLMs + APIs + databases

APIs & Backend

  • Experience building and consuming REST APIs
  • Familiarity with FastAPI or Flask
  • Experience integrating AI systems with databases (SQL / NoSQL)

Nice to Have (Plus Points)

  • Experience with self-hosted n8n deployments
  • Knowledge of vector databases (FAISS, Pinecone, Weaviate, etc.)
  • Experience with Docker and basic cloud deployments
  • Familiarity with MLOps concepts
  • Experience with Zapier / Make.com in addition to n8n

Soft Skills

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

Job Type: Full-time

Pay: Rs55,000.00 - Rs75,000.00 per month

Work Location: In person

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