Mudita is hiring an AI Generalist to join their team in a full-time, on-site capacity. The role is based in Goregaon West, Mumbai, with a required work schedule of Monday through Saturday, from 12:30 PM to 9:00 PM.
Responsibilities
Design and implement AI workflows and automations to solve business problems.
Actively utilize and integrate various AI tools into operational processes.
Develop and manage projects using AI-driven platforms and automation frameworks.
Required qualifications
Proficiency in using AI tools such as ChatGPT, Claude, Gemini, Perplexity, Midjourney, Cursor, Lovable, Bolt, Replit, Zapier, Make, n8n, ElevenLabs, or Notion AI.
Experience in building AI workflows or automation projects.
Ability to work on-site in Goregaon West, Mumbai.
Availability to work a Monday-Saturday schedule from 12:30 PM to 9:00 PM.
Must possess a personal laptop for work purposes.
For full details about this role, click “Apply on company site” to view the employer’s original posting.
A focused preparation guide, built around this job’s responsibilities and requirements.
✦ AI-generated guide
Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.
01
Understand the role
What matters most
AI Workflow Design and Implementation
The core requirement is to design and implement functional AI workflows to solve business problems. You must demonstrate the ability to translate operational needs into automated processes using the specified toolset like Zapier, Make, or n8n.
Tool Integration and Management
You are expected to actively integrate various AI tools into existing operational frameworks. This requires a deep understanding of how to connect platforms like ChatGPT, Claude, and automation frameworks to create cohesive, end-to-end AI-driven solutions.
Operational Reliability and Availability
The role requires a strict on-site presence in Goregaon West, Mumbai, with a specific Monday-Saturday schedule from 12:30 PM to 9:00 PM. Maintaining consistent performance within these operational constraints is a fundamental requirement for the position.
Likely challenges to think through
Balancing Tool Proliferation with Stability
With a wide array of tools like Lovable, Bolt, and Replit, the challenge lies in selecting the right stack for a specific problem without creating overly complex or fragile systems. Prepare by being ready to explain your criteria for choosing one tool over another based on scalability and maintenance.
Demonstrating Tangible Business Impact
Because the role focuses on solving business problems, you must move beyond technical implementation to show how your automations directly improve efficiency or output. Prepare by documenting specific past projects, the exact problem solved, and the measurable outcome of the automation.
03
Practice your answers
Technical practice
Designing AI-Driven Workflows
What to coverExplain your methodology for identifying manual business processes suitable for automation. Focus on how you map out steps, select appropriate AI tools, and ensure the workflow is scalable and reliable.
Integration of Automation Frameworks
What to coverDiscuss your experience using platforms like Zapier, Make, or n8n to connect disparate systems. Describe how you handle error logging, data transformation, and API rate limits within these automations.
AI Tool Selection Strategy
What to coverWhen presented with a business problem, how do you decide between using a LLM like Claude or ChatGPT versus a specialized tool like ElevenLabs or Midjourney? Focus on the trade-offs between cost, latency, and output quality.
Development with AI Coding Assistants
What to coverDescribe how you utilize tools like Cursor, Bolt, or Replit to accelerate development. Explain how you maintain code quality and security when relying on AI-generated code snippets.
Managing AI Project Lifecycle
What to coverDetail your approach to managing an AI project from initial concept to deployment. Suggestion: Emphasize how you document workflows and manage version control for your automation scripts.
Behavioural practice
Problem Solving with Automation
What to coverDescribe a specific instance where you identified a repetitive business task and built an AI solution to solve it. Use the STAR method to explain the problem, the specific tools you chose, and the measurable impact on efficiency.
Adapting to New AI Technologies
What to coverThe AI landscape evolves rapidly; describe a time you had to quickly learn and implement a new tool to meet a project requirement. Focus on your self-learning process and how you validated the tool's effectiveness.
Handling Project Constraints
What to coverTell me about a time an AI automation failed or did not perform as expected. Explain how you troubleshot the issue, communicated the setback, and what steps you took to prevent recurrence.
Managing Workload and Schedule
What to coverThis role requires a consistent Monday-Saturday schedule. Describe how you maintain high productivity and attention to detail during long-term, repetitive operational tasks.
02
Sharpen your knowledge
Topics to prepare
AI Workflow Architecture
Focus on the conceptual design of end-to-end automation pipelines. Exercise: Document a business process, such as lead qualification or content distribution, and map out how different AI tools (e.g., Perplexity for research, Claude for drafting, Zapier for routing) would connect to minimize manual intervention.
AI-Driven Problem Solving
Understand how to identify operational bottlenecks suitable for AI intervention. Exercise: Prepare a detailed case study of a past project where you identified a repetitive task and implemented an AI-based solution, focusing on the specific business problem solved and the measurable impact.
Skills to revise
Automation Framework Integration
Proficiency in connecting disparate platforms using tools like Zapier, Make, or n8n. Exercise: Build a functional workflow that triggers an action in one application (e.g., a new row in a spreadsheet) and uses an AI model to process that data before updating a secondary platform.
AI-Assisted Development
Hands-on experience with AI coding assistants like Cursor, Replit, or Bolt. Exercise: Use one of these tools to generate a simple web application or script from a natural language prompt, then iterate on the code to fix errors or add features, demonstrating your ability to manage AI-generated output.
Prompt Engineering and Tool Utilization
Expertise in leveraging LLMs like ChatGPT, Claude, and Gemini for specific operational tasks. Exercise: Create a library of optimized prompts for different use cases (e.g., data summarization, email drafting, or code debugging) and test their consistency across different models to understand their unique strengths.
04
Your preparation checklist
Document your AI automation portfolio
Prepare a clear summary of your most impactful AI projects. For each, document the specific problem solved, the exact tools used (e.g., n8n, Zapier, Cursor), and the measurable outcome or efficiency gain achieved.
Refine your AI tool proficiency narrative
Identify your primary AI tool from the list provided (e.g., ChatGPT, Claude, Make) and prepare a concise explanation of why it is your go-to. Be ready to discuss how you integrate it into daily operational workflows.
Verify logistical requirements
Confirm your ability to commit to the on-site schedule in Goregaon West, Mumbai (Monday-Saturday, 12:30 PM to 9:00 PM) and ensure your personal laptop is ready for professional use as required by the role.
Prepare your professional background summary
Draft a concise narrative that connects your past experience to the requirements of an AI Generalist, specifically highlighting your hands-on experience with automation frameworks and AI-driven platforms.
Formulate strategic questions for the employer
Prepare thoughtful questions regarding the specific business problems Mudita aims to solve with AI, the current tech stack in use, and how the AI Generalist role contributes to their operational goals.
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