AI Chatbot & Assistant Integration Engineer

We are looking for an experienced AI Chatbot & Assistant Integration Engineer to design, develop, and integrate an intelligent AI assistant for an enterprise SaaS platform.

The assistant will allow users to interact with the application through natural-language text and voice commands. It should be able to explain product features, guide users through workflows, retrieve authorized business information, answer user-specific questions, and perform approved actions within the system.

Ideal Candidate Profile

The ideal candidate should be able to take ownership of designing and implementing a reliable AI assistant that works inside a business application. They should understand how to combine LLMs, RAG, APIs, permissions, structured data, and secure execution workflows to create an assistant that is useful, accurate, and safe.

The candidate should be capable of building an assistant that can:

* Answer product and workflow-related questions.
* Retrieve authorized company and user-specific information.
* Help users navigate the application.
* Understand natural-language commands.
* Execute approved tasks through secure API integrations.
* Respect tenant, role, company, and user-level permissions at all times.

This is a technical implementation role for someone who has practical experience building AI-powered assistants and can deliver a secure, scalable, production-ready solution

Key Responsibilities:

• Building AI assistants, conversational agents, RAG-based systems, and secure enterprise integrations.
• Design and implement an AI-powered assistant for a multi-tenant enterprise SaaS application.
• Enable natural-language interaction through both text and voice commands.
• Integrate the assistant with product documentation, company-specific information, application APIs, relational databases, and structured business data.
• Build reliable workflows for intent recognition, retrieval-augmented generation, function calling, and task execution.
• Ensure the assistant can answer product-related questions, guide users through workflows, retrieve authorized information, and execute approved system actions.
• Implement strict permission checks based on tenant, company, role, and user-level access rights.
• Maintain data isolation, privacy, security, and auditability across all assistant interactions.
• Design safeguards to prevent unauthorized access, incorrect actions, data leakage, or hallucinated responses.
• Optimize the assistant for accuracy, scalability, response time, and operational cost.
• Evaluate and recommend suitable AI models, frameworks, vector databases, voice technologies, and infrastructure components.
• Collaborate closely with product, engineering, QA, and business teams throughout the planning, implementation, testing, and deployment process.
• Create technical documentation for assistant architecture, data flows, integrations, permissions, and operational handling.

Requirements:

• Practical experience building AI assistants, conversational applications, chatbots, AI agents, or enterprise automation tools.
• Strong understanding of large language models, prompt engineering, retrieval-augmented generation, embeddings, vector databases, and function calling.
• Experience working with enterprise SaaS, ERP, HRMS, CRM, finance, help desk, or workflow management platforms.
• Experience integrating AI solutions with enterprise applications, APIs, relational databases, and business workflows.
• Knowledge of multi-tenant SaaS architecture, role-based access control, secure data handling, and permission-based information retrieval.
• Experience designing AI workflows that can retrieve information, summarize data, guide users, and perform system actions.
• Familiarity with speech-to-text and text-to-speech technologies.
• Ability to evaluate, select, and implement the most suitable technologies and architecture for the assistant.
• Strong backend integration skills and understanding of API-driven application architecture.
• Experience building secure, scalable, production-ready AI solutions.
• Strong problem-solving ability, technical ownership, and attention to detail.