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AI Automation Engineer

Ai India Innovations

1 - 3 Lacs

Mumbai

Posted:4 days ago

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Job Description

Job Description: AI Automation Engineer

Location: Vidyavihar, Mumbai, Maharashtra
Experience: 6 Months – 1 Year
Employment Type: Full-Time
Eligibility: passed-out candidates with relevant hands-on experience
Work Location: Mumbai-based candidates only, preferably residing near Vidyavihar.

About the Role

We are looking for a motivated AI Automation Engineer with hands-on experience in n8n, Retrieval-Augmented Generation (RAG), and Prompt Engineering. The ideal candidate should be passionate about building intelligent automation workflows, integrating AI models with business applications, and developing AI-powered solutions to automate repetitive tasks and improve operational efficiency.

Key Responsibilities

  • Design, develop, and maintain AI-powered automation workflows using n8n.
  • Build and implement RAG-based applications using LLMs, embeddings, vector databases, and document retrieval techniques.
  • Develop, test, and optimize prompts for Large Language Models (LLMs).
  • Integrate AI models and third-party APIs into automated workflows.
  • Work with tools such as OpenAI APIs, webhooks, REST APIs, and databases.
  • Automate business processes, data handling, and information retrieval using AI.
  • Debug workflows, troubleshoot integration issues, and improve automation reliability.
  • Collaborate with the team to develop and deploy practical AI automation solutions.

Required Skills

  • n8n: Hands-on experience creating workflows, configuring nodes, and integrating APIs.
  • RAG: Understanding of document processing, chunking, embeddings, vector search, and retrieval pipelines.
  • Prompt Engineering: Ability to design effective prompts and evaluate LLM responses.
  • LLMs: Familiarity with models such as GPT, Gemini, Claude, or open-source alternatives.
  • API Integration: Basic understanding of REST APIs, JSON, webhooks, and authentication.
  • Programming: Basic Python knowledge is preferred.
  • Databases: Familiarity with SQL or vector databases such as ChromaDB, Pinecone, or FAISS is an advantage.
  • Good analytical, problem-solving, and communication skills.

Eligibility Criteria

  • Candidates must have completed their graduation or post-graduation; currently pursuing candidates are not eligible.
  • Candidates should have 6 months to 1 year of relevant hands-on experience in n8n, RAG, Prompt Engineering, or AI automation projects.
  • Candidates must be based in Mumbai, Maharashtra.
  • Candidates residing near Vidyavihar, Mumbai, are strongly preferred.
  • Candidates should be available to work from the designated Mumbai office.

Preferred Qualifications

  • Experience building end-to-end AI automation workflows.
  • Experience developing chatbots, AI agents, or document-based question-answering systems.
  • Familiarity with LangChain, LlamaIndex, or similar frameworks.
  • A portfolio of practical AI automation or RAG projects.

What We Are Looking For

We are looking for a proactive, quick learner who can build practical AI solutions, take ownership of assigned tasks, and contribute to developing reliable AI-driven automation systems.

How to Apply

Interested and eligible candidates can share their updated resume along with details of their relevant n8n, RAG, and Prompt Engineering projects.

Important: Only passed-out candidates based in Mumbai and willing to work near Vidyavihar will be considered.

Pay: ₹15,000.00 - ₹25,000.00 per month

Application Question(s):

  • 1. Have you completed your graduation or post-graduation?
  • 2. Are you currently residing in Mumbai and willing to commute daily to our office in Vidyavihar?
  • 3. How much hands-on experience do you have in AI automation, n8n, RAG, or Prompt Engineering?
  • 4. Do you have hands-on experience building automation workflows using n8n?
  • 5. Have you built or implemented a RAG-based application using an LLM, embeddings, and a vector database?

Work Location: In person

Skills Required

Automation Business Applications Third Party Rest Apis Business Processes Open Source API Integration Json Python SQL AI Solutions Automation Systems

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