AI & Automation Specialist

AI Automation Specialist - Mumbai.

Alimento Agro-Foods Pvt. Ltd.

About Us

Founded in 2015 by Prateek & Mugdha Bhagchandka, Alimento Agro Foods Pvt. Ltd. is on a mission to redefine the way India eats, creating a moment of delight in every bite.

With two powerhouse brands under our umbrella, we're scaling to become a 500+ crore FMCG giant in the next 5 years—with India as our launchpad and the world as our playground.

Our Brands

M.O.M – Meal of the Moment

• India's most loved snacking & instant hot meal brand.

• Offers Poha, Biryani, Red Thai Curry Rice, roasted makhanas, flavored nuts, trail mixes, ragi chips, and banana chips.

• Trusted by airlines, modern trade, general trade, and quick-commerce channels.

Gimi Gimi

• A bold new- age Korean food brand.

• Brings authentic Korean-inspired products to Indian consumers.

• Targets Gen-Z and millennial audiences.

Our Edge

• Fully automated manufacturing facility in Kota, Rajasthan.

• Omnichannel presence across airlines, GT, MT, e-commerce, and Q-commerce.

• Innovation-driven culture with strong consumer focus.

• People-first work environment.

Vision & Ambition

• Build the next Indian FMCG powerhouse.

• Scale to 500+ crore in the coming years.

• Expand market reach while creating new product categories.

Life at Alimento

• Work directly with visionary founders.

• Be part of a young, high-impact team.

• Enjoy ownership and creative freedom.

• See your work reach millions of consumers.

Quick Facts

• Founded: 2015

• Headquarters: Mumbai

• Manufacturing Hub: Kota, Rajasthan

• Brands: M.O.M – Meal of the Moment | Gimi Gimi

Job Summary

We are looking for an AI Automation Specialist to be our in-house expert on AI tools and workflow automation. This isn't a data science or ML engineering role — it's a hands-on builder role for someone who lives and breathes AI tools (ChatGPT/Claude, automation platforms, no-code/low-code builders, AI agents, etc.) and can rapidly identify, build, and deploy automations that save the business time and money.

You'll work directly with function heads across the company to map manual, repetitive processes and turn them into automated workflows using existing AI tools and platforms — with minimal custom engineerings.

What You'll Do

• Audit workflows across departments (ops, sales, marketing, finance, HR, supply chain) to identify automation opportunities.
• Build and deploy automations using tools like Zapier, Make, n8n, Google Apps Script, AI agent platforms, and LLM APIs.
• Set up and customize AI chatbots/agents for internal use (e.g., reporting, customer queries, data entry, document processing).
• Integrate AI tools into existing systems (Excel/Sheets, WhatsApp Business, ERP, CRM, email).
• Train internal teams on how to use AI tools effectively in their day-to-day work.
• Continuously track new AI tools/products in the market and evaluate them for internal use.
• Own end-to-end delivery of automation projects — from scoping to build to rollout to maintenance.
• Document workflows and build a reusable internal playbook of automations.

What We are Looking For

• 2–5 years of experience in automation, operations, analytics, or a tools-heavy role (not necessarily a developer background)
• Strong hands-on familiarity with AI tools — LLMs (ChatGPT, Claude, Gemini), automation platforms (Zapier, Make, n8n), no-code app builders, and AI agent frameworks.
• Comfortable with basic scripting/logic (Python, Google Apps Script, or similar) — doesn't need to be a full-stack engineer.
• Strong problem-solving mindset — can look at a messy manual process and see how to automate it.
• Good communication skills — able to work with non-technical stakeholders across departments and translate needs into solutions
• Self-starter who can work with ambiguity and figure things out independently.
• Prior experience in FMCG, D2C, or a fast-paced startup environment is a plus, not mandatory.

What Success Looks Like

• Multiple manual processes across departments automated within the first 6 months.
• Measurable time/cost savings reported back to leadership.
• Internal teams actively using AI tools you've rolled out, with minimal hand-holding needed.