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Business AI Workflow Designer

2 weeks ago

Mumbai, Maharashtra, India beBeePromptEngineer Full time ₹ 14,00,000 - ₹ 17,00,000

We are seeking an expert in designing and optimizing prompts to drive accuracy, reliability, and adaptability of AI models within various business use cases. The ideal candidate will bridge the gap between process automation and applied AI, enabling the creation of intelligent, autonomous systems that augment business workflows and decision-making.

Key Responsibilities
  • Design, test, and optimize high-quality prompts for large language models (LLMs).
  • Collaborate with automation teams to integrate Automation Anywhere bots with AI-driven agents for end-to-end workflows.
  • Build, configure, and deploy AI agents capable of reasoning, planning, and executing tasks autonomously.
  • Partner with data scientists, RPA developers, and business stakeholders to identify opportunities for AI-driven automation.
  • Develop reusable prompt templates, prompt libraries, and best practices for LLMs and multi-agent systems.
  • Integrate APIs, knowledge bases, and 3rd-party systems into AI agents and RPA workflows to enrich decision-making capabilities.

Our team is looking for a skilled professional who can translate business requirements into scalable AI workflows and deliver solutions that create real impact. We offer a collaborative environment where experts can share knowledge and work together to drive innovation and efficiency.

Requirements
  • Bachelor's or Master's degree in Computer Science, Information Systems, AI/ML, or related field.
  • Strong experience with prompt engineering techniques for large language models (e.g., OpenAI, Anthropic, Llama).
  • Hands-on knowledge of Automation Anywhere (bot development, control room, IQ Bot, API integrations).
  • Proven experience in building, deploying, and managing AI agents or autonomous AI workflows.
  • Proficiency with programming/scripting in Python, Java, or JavaScript for automation and agent development.
  • Familiarity with RPA-to-AI orchestration, including scheduling, decision-making, and exception handling.
Preferred Skills
  • Exposure to multi-agent frameworks (LangChain, AutoGPT, CrewAI, Microsoft Autogen, etc.).
  • Familiarity with cloud platforms (AWS, GCP) for AI/automation deployment.
  • Knowledge of ML pipelines, NLP models, and conversational AI.