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AI Workflow Builder

Kroolo

2 - 3 years

Bengaluru

Posted: 05/03/2026

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Job Description

Kroolo is building the worlds first AI-native Work Operating System (WorkOS) that unifies Projects, Knowledge, Service Management, and Enterprise Search into a single platform powered by AI agents.

Todays enterprises suffer from fragmented workflows across Jira, Slack, Confluence, ServiceNow, and dozens of disconnected tools. Kroolo replaces this fragmented stack with a unified AI execution layer, where AI agents dont just assistbut autonomously orchestrate workflows.

Our platform enables enterprises to:

  • Create and execute workflows autonomously
  • Deploy AI agents embedded into business operations
  • Connect to 100+ enterprise systems
  • Enable enterprise-wide automation securely and at scale

We are building the foundational infrastructure for agentic enterprises.


We are looking for an exceptional AI Workflow Engineer to design, build, and scale Kroolos AI-native workflow orchestration engine.

You will work at the intersection of:

  • AI agents
  • Workflow orchestration
  • Distributed systems
  • Enterprise integrations
  • Automation infrastructure

You will help build the core execution layer that enables AI agents to autonomously plan, execute, and optimize workflows across enterprise systems.

This is a foundational role with massive ownership and impact.


Build Native AI Workflow Engine

  • Design and implement scalable workflow orchestration systems
  • Build workflow execution pipelines with support for:
  • Conditional logic
  • Parallel execution
  • Retries and fault tolerance
  • Event-driven triggers
  • Develop workflow DAG execution engine

Build Workflow Infrastructure

  • Enable AI agents to execute workflows autonomously
  • Integrate LLMs into workflow decision-making
  • Build agent planning, execution, and tool invocation pipelines
  • Implement memory, context management, and tool orchestration

Build Execution Layer

  • Implement distributed task queues and execution systems
  • Build async job processing infrastructure
  • Design reliable, scalable execution systems using queues and workers
  • Ensure high reliability, observability, and fault tolerance

Build Enterprise Integrations

  • Build workflow connectors for systems like:
  • Jira
  • Slack
  • Salesforce
  • Google Workspace
  • Microsoft 365
  • ServiceNow
  • GitHub / GitLab
  • Implement trigger-based and event-based workflow

Creation and launch

  • Power Kroolos visual workflow builder
  • Design backend infrastructure for:
  • Workflow creation
  • Execution
  • State management
  • Versioning


Tech Stack

You will work with modern, cutting-edge technologies:

Backend

  • Node.js / TypeScript / NestJS
  • Python / FastAPI

AI Stack

  • GPT-5.2, Gemini, Claude
  • LangChain / LangGraph / custom agent frameworks
  • Vector databases

Infrastructure

  • Redis
  • PostgreSQL
  • Kafka / QStash / RabbitMQ
  • Docker / Kubernetes
  • AWS / GCP / OCI

Workflow & Execution

  • DAG engines
  • Async processing
  • Event-driven architecture


Skills Requirement

  • 2-3 years of backend or distributed systems engineering experience
  • Strong experience with:
  • Node.js, Python, or Go
  • Distributed systems
  • Async job processing
  • Queue-based architectures

Experience with workflow engines OR similar systems:

  • Temporal
  • Airflow
  • Prefect
  • LangGraph
  • Or similar orchestration frameworks
  • Strong system design skills


Strong Plus:

  • AI agents or LLM integrations
  • Building automation platforms
  • Workflow orchestration engines
  • LangChain, LangGraph, AutoGen, CrewAI
  • Building SaaS platforms


Exceptional Plus, have done before

  • Built workflow engines
  • Built agent frameworks
  • Built automation platforms
  • Experience scaling systems to millions of workflows

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