About BECO
BECO is a revolutionary home care brand dedicated to sustainability and eco-friendliness. Our plant-based, bamboo-based products are highly effective and 100% chemical-free, offering environmentally conscious solutions without compromising on quality. As a direct-to-consumer (D2C) brand, we are on a mission to make the world a better place, one home at a time.
Role Summary
We are looking for a high-agency individual who can design, build, and deploy autonomous AI systems that replace manual workflows across the organization.
This role is not about experimenting with AI tools — it’s about eliminating human dependency in repeatable processes by building production-grade agentic systems.
You will own the full lifecycle:
problem → workflow design → AI system → deployment → optimization
Core Responsibilities
1. Workflow Deconstruction & Automation Strategy
· Analyze business functions (sales, ops, supply chain, finance, CX)
· Break down workflows into decision trees and automation opportunities
· Identify high-ROI automation use cases
· Redesign processes for AI-first execution (not human-first)
2. Agentic System Design
· Design multi-step AI workflows (single agent + multi-agent systems)
· Define
· Inputs / outputs
· Memory structures
· Tool usage (APIs, DBs, SaaS tools)
· Decision logic
· Think (LLMs)
· Act (tools, APIs)
3. Build & Implementation
· Develop AI agents using:
· OpenAI / Claude / LLM APIs
· Agent frameworks (LangGraph, CrewAI, AutoGen, etc.)
· Workflow tools (n8n, Zapier, Make, Retool)
· Integrate with internal systems:
· ERP (SAP / Tally)
· CRM
· Shopify / marketplaces
· Databases
· Communication tools (WhatsApp, email, Slack)
· Deploy production-ready systems (not prototypes)
4. Automation Infrastructure
· Build reusable internal automation frameworks
· Create orchestration layers across multiple agents
· Implement monitoring, logging, and failure handling
· Design fallback systems for edge cases
5. Optimization & Scaling
· Continuously improve system accuracy, speed, and cost
· Reduce human intervention over time
· Scale automations across departments
· Measure:
· Time saved
· Cost reduced
· Output improved
Key Outcomes (What Success Looks Like)
· 50–80% reduction in manual operational work
· Fully automated workflows across key functions
· AI agents independently handling end-to-end tasks
· Minimal human oversight required for routine processes
Required Skills
Technical
· Strong experience with LLMs and prompt engineering
· Experience with agent frameworks (LangChain, LangGraph, CrewAI, etc.)
· API integrations and system design
· Familiarity with automation tools (n8n, Zapier, Make)
· Basic backend understanding (Python / JS preferred)
Systems Thinking
· Ability to convert messy real-world workflows into structured systems
· Strong understanding of business processes
· Optimization mindset (speed, cost, scalability)
Execution
· High ownership and bias for action
· Ability to ship fast and iterate
· Comfortable working with ambiguity
· Focus on outcomes, not just building tools
Good-to-Have
· Experience with RPA tools
· Exposure to ERP systems (SAP, Oracle, Tally)
· Experience in FMCG / manufacturing / D2C environments
· Understanding of data pipelines / analytics
What This Role Is NOT
· Not a prompt engineer who just writes prompts
· Not a data scientist doing offline models
· Not a consultant making slides
· This is a builder role focused on real-world impact.
Compensation & Structure
· High ownership role with direct impact on company efficiency
· Performance-driven incentives tied to automation outcomes
· Opportunity to build and lead an internal AI automation function
Who Should Apply
- Builders who have already automated parts of their own workflow
- People who hate repetitive work and want to eliminate it permanently
- Individuals obsessed with leveraging AI for real-world execution