Top Tech Jobs & Startup Jobs in Chennai

The job description provides no specific responsibilities or qualifications beyond the title, VMware L3. The role appears related to VMware platform or infrastructure support, but further details are not provided.

Develop and maintain C# .NET software by analyzing requirements, designing solutions, estimating tasks, and implementing configurable, testable components, services, and screens. The role emphasizes code quality, efficient delivery, code reviews, and agile collaboration. Required experience includes five or more years of commercial C#/.NET development, SQL databases, Linux, algorithms, data structures, and software architecture. Full-stack UI, Blazor, WinForms, C++, and financial markets experience are beneficial.

Design, develop, and deploy enterprise generative AI applications using Azure OpenAI, RAG pipelines, vector databases, Vision LLMs, and Python APIs. Build document processing, semantic search, chatbot, summarization, and intelligent automation solutions. Optimize models for latency, scalability, and cost, while implementing monitoring, evaluation, experimentation, security, governance, and responsible AI practices. Collaborate with product, architecture, data science, and engineering teams to deliver production-ready cloud AI solutions.

Design, develop, and maintain high-performance Go backend applications, scalable microservices, RESTful and gRPC APIs, and distributed systems. Integrate databases, messaging platforms, cloud services, and third-party systems while implementing monitoring, logging, observability, CI/CD, and DevOps practices. Participate in code reviews, optimize reliability and performance, troubleshoot production issues, and collaborate with cross-functional teams to deliver quality solutions.

Design and develop responsive web applications and reusable UI components while building AI-powered experiences. Integrate LLM and AI services, develop chatbots and copilots, implement prompt engineering and RAG architectures, and optimize applications for scalability, security, performance, and usability. Collaborate with product, design, data science, and backend teams, contributing to testing, deployment, code reviews, and production support.

Design and develop responsive web applications and AI-powered user experiences. Build chatbots, copilots, virtual assistants, and intelligent workflows using LLMs, GenAI APIs, prompt engineering, RAG, vector databases, and orchestration frameworks. Translate designs into reusable frontend components, integrate backend and cloud services, and optimize applications for scalability, security, performance, and usability. Collaborate with product, design, data science, and engineering teams while supporting testing, deployment, code reviews, and production operations.

Define enterprise Generative AI architecture strategy and governance; design scalable Azure OpenAI, LLM, RAG, multimodal, and agentic AI platforms; establish security, Responsible AI, observability, evaluation, MLOps, and CI/CD practices; lead architecture reviews and stakeholder alignment; optimize AI solutions for performance, reliability, latency, and cost; and mentor engineering and data science teams.

Tests and supports IVR and complex ACD systems, including speech and DTMF call flows, automation, self-service, and contact center functionality. Interprets system logs, performs smoke, integration, and regression testing, provides remote system support, and translates business and end-user needs into functional requirements while collaborating with engineers.

Manage enterprise vulnerability scanning and remediation processes using Qualys. Responsibilities include deploying and troubleshooting agents and appliances, analyzing scan results, validating false positives, prioritizing vulnerabilities, coordinating remediation, producing reports and dashboards, administering user requests, and maintaining Qualys infrastructure. The role also involves compliance scanning, policy creation, automation, change management, and advising stakeholders on vulnerability reduction.

Designs, develops, and operates production-scale AI and cloud solutions for IVR and conversational voice systems. Responsibilities include applying NLP, speech recognition, and large language models; building APIs and microservices; deploying workloads across Azure and AWS; implementing CI/CD, containers, and cloud-native architectures; solving complex technical problems; evaluating emerging AI technologies; and communicating technical strategies to stakeholders.