Key Responsibilities 

• Develop and deploy AI Agents and Agentic AI solutions for different business functions such as customer service and lead generation. 
• Build and manage AI-powered chatbots and virtual assistants for customers and employees. 
• Develop multi-agent and multi-step AI workflows capable of performing business tasks with appropriate human oversight. 
• Identify opportunities to automate repetitive and time-consuming processes using AI. 
• Develop AI-assisted workflows for insurance quotations, customer service, claims support, marketing, sales, administration, operations, and management reporting. 
• Develop internal AI assistants and knowledge systems using company documents, procedures, policies, and databases. 
• Work with Generative AI and Large Language Models (LLMs) and integrate them into practical business applications, while ensuring data and information confidentiality. Also, develop and implement RAG (Retrieval-Augmented Generation) solutions. 
• Develop AI-powered tools that improve employee productivity and customer experience. 
• Test and monitor AI solutions for accuracy, reliability, security, privacy, and performance. 
• Establish appropriate human-in-the-loop controls for critical AI processes. 
• Train employees on the effective and responsible use of AI, while continuously researching emerging AI technologies and recommending practical applications for the company. 
•  Work directly with management and different departments to convert business requirements into working AI solutions. 

Technical Knowledge
Candidates should have strong practical knowledge of several of the following:

AI Agents • Agentic AI • Chatbots • Generative AI • Large Language Models (LLMs) • Prompt Engineering • RAG • Workflow Automation • AI Assistants • Knowledge Bases • Document AI • Data Extraction • AI Integrations • Multi-Agent Systems Practical experience with platforms and technologies such as: OpenAI / OpenAI APIs • Claude / Claude API • Claude Code • Azure AI • n8n • Make • Zapier • LangChain • Python • Vector Databases, or similar AI and automation technologies would be an advantage.

Candidate Profile
We are looking for someone who: 

* Has a minimum of 4 years of practical AI-related experience.
* A college degree is not a must; it is a plus. 
* Has hands-on experience developing or implementing AI agents, chatbots, AI assistants, or automated workflows. 
* Is highly self-motivated, curious, creative, and solution-oriented. 
* Can work independently and take an AI project from idea to implementation. 
* Enjoys experimenting with emerging AI technologies and finding practical business applications for them. 
* Can understand a business problem and design an appropriate AI solution. 
* Has good knowledge of AI security, data privacy, testing, governance, and responsible AI implementation. 
* Has strong analytical and problem-solving skills, and can communicate effectively with both technical and non-technical colleagues. 


Shortlisted candidates may therefore be asked to demonstrate AI solutions they have personally developed or implemented, such as:
AI Agents | Chatbots | Automated Workflows | RAG Applications | Internal AI Assistants | MultiAgent Systems | AI Business Applications
We want someone who is excited about turning AI from an idea into a working business solution.
If you build AI—not just use it—we would like to hear from you. 

How to Apply
Interested candidates can send their updated resume to hr@stackmod.io  with the subject line: “Application for AI Engineer”