Job Summary
We are seeking a highly experienced and innovative First Responder AI Expert with 5-7 years of experience to lead the development of AI agents designed for instant, context-aware responses. This role is a blend of AI engineering, natural language processing (NLP), and deep domain knowledge of business operations.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. You will be instrumental in automating support, knowledge access, and operational workflows across the organization.
Key Responsibilities
End-to-End Agent Development :
- 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.
Workflow Automation
- Integrate AI agents with internal business systems (e.g., Slack, Jira, Salesforce, CRM, ERP) 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.
Collaboration & Leadership
- 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.
Required Qualifications
Education :
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Experience
- 5-7 years of professional experience in an AI Engineer, NLP Engineer, or similar role, with a proven track record of deploying conversational or agentic AI solutions to production.
Programming
- Strong proficiency in Python is non-negotiable.
NLP & Generative AI Expertise
- Deep, hands-on experience with NLP techniques, including intent recognition, entity extraction, and sentiment analysis.
- Extensive experience with Large Language Models (LLMs) and fine-tuning using frameworks like Hugging Face Transformers.
- Practical experience in designing and implementing RAG (Retrieval Augmented Generation) systems.
- Proficiency in prompt engineering and understanding of various prompt templates and strategies.
MLOps & Cloud
- Experience with deploying and managing AI agents in a production environment using MLOps practices.
- Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and related services for AI/ML and serverless computing.
- Familiarity with containerization (Docker) and orchestration (Kubernetes).
System Integration
- Proven experience integrating AI solutions with external APIs and internal enterprise systems (e.g., Salesforce, Jira, Slack).
- Problem-Solving: Exceptional analytical and problem-solving skills, with the ability to design and implement robust, real-time AI solutions for a wide range of use cases.
Preferred Qualifications (Bonus Points)
- Experience with specific agent frameworks (e.g., LangChain, LlamaIndex, Google's Agent Development Kit).
- Prior experience in developing AI solutions for IT support, HR, sales, or customer service.
- Understanding of ethical AI principles, safety, and bias mitigation in conversational systems.
- Contributions to open-source AI projects.
- Experience with real-time streaming data technologies (e.g., Kafka).
(ref:hirist.tech)
