AI Expert Lead

2 weeks ago

Panchkula, Haryana, India beBeeResponder Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Senior AI Expert - Job Summary

We are seeking an experienced and innovative leader in the development of artificial intelligence agents designed for instant, context-aware responses.

This role combines expertise in AI engineering, natural language processing (NLP), and deep domain knowledge of business operations to create a unique opportunity for growth and success.

The ideal candidate will be responsible for creating, deploying, and optimizing AI agents that act as a first responder to various queries and events-from a customer's support request to an internal employee's question about HR policies or a sales team's need for real-time data.

Key Responsibilities:
  • Design, develop, and deploy conversational and autonomous AI agents that can triage, answer, and resolve user requests in real-time.
  • Leverage and fine-tune large language models (LLMs) and other generative AI technologies to build highly effective first responder applications.
  • Implement robust RAG (Retrieval Augmented Generation) systems to ground agent responses in accurate, up-to-date, and proprietary organizational data.
Automation and Integration:
  • Integrate AI agents with internal business systems using APIs to enable autonomous actions like creating tickets, updating records, or providing status updates.
  • Design and implement agentic workflows that can handle multi-step processes and hand-off tasks to human operators seamlessly when necessary.
Prompt Engineering & Agent Design:
  • Develop and optimize sophisticated prompt engineering strategies to ensure agents provide accurate, relevant, and contextually appropriate responses.
  • Design agent personas and interaction models that align with business needs and provide a positive user experience.
Data & Knowledge Management:
  • Collaborate with data and content owners to identify, ingest, and manage knowledge bases and data sources essential for agent functionality.
  • Implement strategies for continuous learning and retraining of agents based on user interactions and new data.
Performance Monitoring & Optimization:
  • Establish key performance indicators (KPIs) for agent success, such as resolution rate, response time, and user satisfaction.
  • Develop monitoring systems to track agent performance, identify areas for improvement, and mitigate potential issues like hallucinations or biased responses.
Leadership and Collaboration:
  • Act as a subject matter expert on first responder AI solutions, providing technical guidance to cross-functional teams.
  • Work closely with product managers and business stakeholders to identify high-impact use cases and define agent capabilities.
  • Mentor and guide junior engineers in the best practices of agent development.
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