Job
Description
Role Overview: As an AI Engineer specializing in Conversational Analytics & GenAI Systems at IRISS Inc, you will be working on the company's conversational analytics platform, a GenAI-powered chatbot that transforms natural language queries into validated, compliant, and tenant-aware SQL and visual insights. Your primary responsibility will be to design, develop, and maintain the AI chatbot platform that serves as the intelligence layer for the SaaS ecosystem. This will involve architecting end-to-end conversational pipelines, integrating various technologies, and partnering with other engineering teams to embed AI features directly into user workflows. Key Responsibilities: - Design and implement backend services in .NET Core (ASP.NET Core Web API) using Entity Framework Core and LINQ - Help migrate backend APIs to Python microservices architecture - Build clean and testable Angular 18+ UIs and reusable components (standalone) - Design and evolve multi-tenant backend services for assets, sensors, work orders, notifications, and AI workflows - Integrate data sources such as SQL (SQL Server/Aurora) and InfluxDB for time-series telemetry - Implement background jobs, rate limiting, and observability using technologies like Hangfire, Redis, and log enrichment patterns - Extend REST and SignalR endpoints while maintaining tenant isolation and role-based access control - Collaborate with IoT and data teams to expose sensor data, alerts, reports, and analytics - Implement authentication/authorization, input validation, and error handling across the stack - Participate in code reviews, ADRs, grooming, and release readiness checks - Contribute to CI/CD pipelines (GitHub Actions), basic observability, and performance profiling - Define service boundaries, transactional integrity, and performance within core application layers Qualifications Required: - Bachelor's or Master's degree in Computer Science, Data Science, or a related field - Minimum 3 years of experience developing and deploying AI-powered applications or chatbots - Strong Python expertise (FastAPI, Flask, or Django for microservices) - Experience with LLM integration (OpenAI, Bedrock, Hugging Face, or local models) - Hands-on experience with AWS ecosystem including Bedrock, Kendra, OpenSearch, ECS, Lambda, and CloudWatch - Deep understanding of RAG architecture, vector databases, and embeddings-based retrieval - Knowledge of prompt design, model orchestration, and AI safety validation - Familiarity with SQL and multi-tenant data systems - Experience with Docker, Git-based CI/CD, and microservice architectures Additional Company Details: IRISS, Inc. is a leading innovator in the field of advanced technological solutions, providing cutting-edge products and services to enhance safety, reliability, and efficiency of assets across various industries. The commitment to pushing boundaries and delivering exceptional solutions has positioned IRISS as a trusted partner for clients seeking top-tier technical expertise in Condition Based Monitoring.,
