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AI Workflow Optimization Specialist

2 weeks ago

Vellore, Tamil Nadu, India beBeePromptEngineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Summary

We are seeking a highly skilled engineer to bridge the gap between process automation, prompt engineering, and applied AI. The ideal candidate will enable the creation of intelligent, autonomous systems that augment business workflows and decision-making.

Key Responsibilities:

  • Design, test, and optimize high-quality prompts to drive accuracy, reliability, and adaptability of AI models within various business use cases.
  • Collaborate with teams to integrate RPA 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, developers, and stakeholders to identify opportunities for AI-driven automation.
  • Develop reusable prompt templates, prompt libraries, and best practices for large language models (LLMs) and multi-agent systems.
  • Integrate APIs, knowledge bases, and 3rd-party systems into AI agents and RPA workflows to enrich decision-making capabilities.
  • Maintain agent and bot performance, troubleshoot issues, and fine-tune prompts for continuous improvement.
  • Conduct research on state-of-the-art AI agent frameworks, RPA enhancements, and generative AI trends to keep solutions cutting-edge.

Required Skills & Qualifications:

  • 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.
  • Familiarity with RPA-to-AI orchestration, including scheduling, decision-making, and exception handling.
  • Proficiency with programming/scripting in Python, Java, or JavaScript for automation and agent development.
  • Understanding of APIs, webhooks, and system integrations across enterprise environments.

Preferred/Good-to-Have 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.