Job Title: Platform & Software QA Engineer (UX-Aware) Location: Remote Type: Full-Time Experience Level: Mid to Senior About Us: We are a fast-growing AI and cloud platform company solving complex enterprise communication and collaboration challenges. Our solutions leverage advanced analytics, natural language processing, and intelligent automation to drive meaningful impact for customers across industries. We are looking for a Platform & Software QA Engineer who not only brings technical excellence in testing, but also deeply understands user experience and usability. Role Overview: As a QA Engineer on our team, you’ll play a pivotal role in ensuring our multi-platform enterprise solutions are stable, reliable, and intuitive for end-users. This is not just a bug-hunting role — we're looking for someone who thrives at the intersection of automation, platform-level testing, and user-centric design thinking. What You’ll Do: • Own end-to-end testing for highly integrated web platforms and AI-powered features. • Develop and maintain automated test scripts using Cypress across multiple product modules and UIs. • Perform functional, regression, integration, and exploratory testing across microservices-based architectures. • Analyze complex business workflows and user journeys to create test plans that reflect real-world usage. • Collaborate closely with product managers, developers, and UX designers to advocate for the user and improve overall platform experience. • Participate in release planning, build verifications, and own the quality gates for major feature rollouts. • Provide feedback on UI/UX friction points and inconsistencies that affect user adoption or productivity. • Investigate bugs across complex communication layers and multi-tenant deployments. • Contribute to CI/CD pipeline improvements and test coverage optimization. What You Bring: • 4+ years of experience in software QA, with at least 2 years focused on web automation using Cypress. • A solid foundation in manual and automated testing methodologies. • Demonstrated experience testing enterprise-scale platforms, preferably with APIs, data flows, dashboards, and integrated user experiences. • Strong attention to detail and ability to analyze user journeys to catch subtle UX issues. • Working knowledge of DevTools, Postman, and debugging tools to isolate issues. • Ability to thrive in an agile, fast-paced environment with frequent releases. • A user-first mindset — you instinctively spot usability issues and think beyond “pass/fail”. • Bonus: Experience with AI-powered features, communications platforms, or Microsoft ecosystem (Teams, Azure, etc.). Why Join Us? • Be part of a mission-driven company solving real problems at scale • Influence product quality across multiple intelligent platforms • Work with a talented and globally distributed team of engineers and designers • Competitive compensation, remote-first flexibility, and opportunity to grow with us Show more Show less

Job Title: IIT AI Engineer – Scalable Agent Architectures Location: Remote (Preference for IST or EST overlap) Company: EZAIX Type: Full-time Level: Senior / Principal About the Role EZAIX is building the future of connected enterprise intelligence — where AI agents don’t just respond, they act. We are looking for an experienced AI Engineer to help us architect and implement highly scalable, event-driven, multi-agent systems for real-world enterprise automation and collaboration. You’ll work at the intersection of LLM infrastructure, Azure-native microservices, and agent orchestration frameworks (LangGraph, LangChain) to create dynamic, tool-using, streaming-first systems that can reason, route, and respond across business workflows. Your Mission • Architect and build AI-first microservices that power intelligent enterprise workflows • Design and implement LangGraph/LangChain-based AI agents that invoke tools, handle context, and collaborate over stateful graphs • Tune and orchestrate open-source LLMs (LLaMA 2/3, Mistral, Mixtral) via LoRA/fine-tuning for task-specific performance • Implement function-calling and streaming responses for dynamic, low-latency user experiences • Connect vectorized knowledge using Azure AI Search / FAISS / Chroma and build robust retrieval-augmented generation (RAG) pipelines • Build and test event-driven architectures using Azure Service Bus, Event Hubs, and serverless platforms like Azure Functions & Logic Apps • Own end-to-end model evaluation using LLM-eval, RAG benchmarks, prompt testing, and hallucination reduction strategies Core Requirements Architecture & Backend Skills • Strong grasp of microservices and event-driven design • Expertise in Azure Service Bus, Event Hubs, Azure Functions, Logic Apps • Solid backend experience with FastAPI, Django REST, or equivalent • Deep knowledge of Async IO, concurrency primitives (asyncio, trio) for scalable API design AI/LLM Stack • Experience with LangGraph, LangChain, or equivalent agent routing frameworks • Experience building multi-step agents that stream, invoke tools, and track state • Comfort with fine-tuning LLMs (LoRA, PEFT) on open-source models • Deep experience with prompt engineering, evaluation frameworks, and RAG pipelines • Practical implementation of vector databases like Azure AI Search, FAISS, or Chroma Nice to Have • Prior work with multi-agent orchestration and tool-switching logic • Familiarity with observability for AI agents (tracing, logging, telemetry in distributed AI systems) • Contributions to open-source LangChain / LangGraph or AI agent frameworks • Familiarity with Microsoft Copilot stack, Azure OpenAI, or Cognitive Services • DevOps familiarity with CI/CD and deployment on Azure Kubernetes or App Services What You'll Get • Opportunity to build cutting-edge AI systems with real enterprise impact • Work directly with founders and top-tier customers across industries • Freedom to experiment with latest OSS models and frameworks • Transparent roadmap, fast execution, global product footprint How to Apply If you're passionate about connected AI systems, LLM agents, and solving real problems at scale — we want to hear from you. Send your GitHub/portfolio, a short note, and your favorite agent architecture idea.

We’re building the next-generation communications analytics and automation platform—one that fuses deep telemetry, enterprise-scale voice/calling data, and AI-driven remediation. As a Senior Backend Engineer , you'll play a core role in designing the resilient, scalable backend of a high-visibility platform that already drives action across global Microsoft Teams deployments. This isn’t a maintenance gig. This is architecture, orchestration, and ownership. You’ll help design microservices, implement scalable APIs, and ensure data flows seamlessly from complex real-time systems (like call quality diagnostics and device telemetry) into actionable intelligence and automation pipelines. If you’re excited by backend systems with real-world impact—and want to transition into intelligent agentic systems powered by GenAI—this role is built for you. What You'll Work On Platform Engineering (Core Backend) Design and implement robust, cloud-native services using modern backend stacks (Node.js, Python, .NET Core, or similar). Build scalable APIs to surface data and actions across TeamsCoreIQ modules (call analytics, device insights, policy management, AI-based RCA). Integrate with Microsoft Graph APIs and Teams Calling infrastructure (Auto Attendants, Call Queues, Call Quality, Presence, Policies). Develop event-driven workflows using queues (Service Bus, Kafka, RabbitMQ) for high-throughput ingestion and action pipelines. Work with real-time data stores, telemetry ingestion, and time-series analytics backends (PostgreSQL, MongoDB, InfluxDB, or equivalent). Infrastructure & DevOps Support Help scale and secure workloads using Azure, Kubernetes, and CI/CD pipelines (GitHub Actions, Azure DevOps). Implement observability practices—logging, metrics, alerting—for zero-downtime insights and RCA. Future-Forward (Agentic Track) Support the evolution of the backend toward intelligent agent orchestration: Build services that allow modular “agents” to retrieve, infer, and act (e.g. provisioning, remediation, escalation). Explore interfaces for integrating OpenAI, Azure AI, or RAG pipelines to make automation contextual and proactive. What You Bring Must-Have Technical Skills 2+ years backend engineering experience with production-grade systems. Strong proficiency in at least one modern backend language (Node.js, Python, Go, or .NET Core). Deep understanding of RESTful API design, GraphQL is a bonus. Experience building cloud-native apps on Azure (preferred), AWS or GCP. Familiarity with Microsoft ecosystem: Graph API, Teams, Entra ID (AAD), SIP/VoIP call data a big plus. Experience with relational and NoSQL databases; data modeling and performance tuning. Bonus (Not Mandatory, but Highly Valued) Exposure to AI/ML pipelines, LangChain, OpenAI API, or vector databases (Pinecone, Weaviate). Background in observability, root-cause analysis systems, or voice analytics. Experience with policy engines, RBAC, and multi-tenant SaaS platforms. Traits We Love Systems Thinker – You optimize for scale and understand how backend services interact across a distributed system. Builder’s DNA – You love to own, refine, and ship high-quality features fast. Learning Velocity – You’re interested in agentic architectures, GenAI, and eager to transition toward intelligent orchestration. Code Ethic – You write clean, maintainable, testable code—and always think security-first. Performance Expectations (First 30 Days) ü Ship a core modules with full test coverage and observability. ü Deliver API endpoints for at least one major module (e.g. RCA, Call Analytics, DeviceIQ). ü Draft and refine at least one reusable internal service that improves time-to-market for future agents. ü Collaborate with frontend, DevOps, and AI teams to support rapid iteration and experimentation. Tips: Provide a summary of the role, what success in the position looks like, and how this role fits into the organization overall.