Artificial Intelligence Prompt Engineering Specialist

15 hours ago

Thrissur, Kerala, India beBeeAutonomous Full time ₹ 20,00,000 - ₹ 25,00,000
Job Title

We are seeking a highly skilled AI Prompt Engineer to join our team.

  • Design, test, and optimize high-quality prompts to drive accuracy, reliability, and adaptability of AI models within various business use cases.
  • 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 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.
  • Monitor 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.
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.
  • 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.
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.

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