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Hirekeyz Infotech Pvt. Ltd. is a technology-driven recruitment and staffing partner based in India, focusing on IT, engineering and business domains. This role centers on building AI-powered automation to streamline processes and integrations across platforms.
You will design and maintain AI agents, automation workflows, and API integrations, while training teams and monitoring performance for quality and compliance.
Hirekeyz Infotech Pvt. Ltd. is a technology-driven recruitment and staffing solutions company based in India. We connect top talent with leading organizations across IT, engineering, and business domains. Our mission is to simplify hiring through smart technology, deep industry expertise, and a candidate-first approach.
Analyze business processes and identify automation opportunities.
Build and maintain AI agents using OpenAI, Claude, Dify, Flowise, Typebot, and similar platforms.
Create automation workflows using n8n, Make, Zapier, and related tools.
Integrate AI systems with CRM, ATS, WhatsApp, Slack, Email, Google Workspace, and databases.
Develop API and webhook-based integrations.
Build AI-to-human escalation workflows where required.
Automate reporting, follow-ups, document validation, and operational tasks.
Monitor AI performance, accuracy, and compliance.
Maintain documentation and train internal teams on automation workflows.
Experience with OpenAI API, Claude API, or other LLMs.
Hands-on experience with n8n, Make, Zapier, or similar automation platforms.
Knowledge of Dify, Flowise, LangChain, Typebot, Chatwoot, or related tools.
Strong API integration and webhook experience.
Proficiency in Python or Node.js.
Experience with CRM, ATS, or business system integrations.
Familiarity with Google Workspace, Slack automation, and databases.
Strong problem-solving and analytical skills.
Experience with Zoho CRM, Zoho Creator, Zoho Books, or Twenty CRM.
Knowledge of WhatsApp Cloud API, Evolution API, or WAHA.
HR, recruitment, or staffing automation experience.
Experience building multi-agent AI workflows.
Docker, VPS, or cloud deployment knowledge.