We are looking for a passionate and hands on Technical Leader to lead the design, development, and delivery of high-quality software solutions. This role requires deep expertise in .NET Core 8, React with TypeScript, Microsoft Azure, and modern architectural and coding principles. You will lead by example, ensure engineering best practices, and promote a strong focus on clean code, testability, and AI-driven productivity. Key Responsibilities: Lead and mentor a cross-functional development team including backend, frontend, and full-stack engineers. Architect, design, and develop secure and scalable applications using .NET Core 8, React with TypeScript, and Azure cloud services. Promote and enforce clean code, SOLID principles, and async/await programming for scalable and maintainable software. Apply CQRS, design patterns, and microservices architecture to build performant, modular systems. Design data models and work with both SQL Server and MongoDB databases. Collaborate with QA to ensure quality through integration with test frameworks and unit test coverage using tools like xUnit/NUnit/Moq. Drive unit test case development as a core practice for all modules, ensuring high test coverage and continuous regression safety. Translate business requirements from Business Analysts (BAs) into robust technical solutions. Implement and manage CI/CD pipelines using Azure DevOps. Deploy and manage services using Azure App Services, Azure Functions, and Docker containers. Collaborate with UI/UX teams and follow established design systems for consistency and accessibility. Leverage AI tools (like GitHub Copilot, ChatGPT, etc.) to automate repetitive tasks, enhance development speed, assist in writing test cases, and optimize team performance. Actively contribute to Agile ceremonies such as sprint planning, retrospectives, and daily stand-ups. Requires Skills: Backend : ASP.NET Core 8, C#, REST APIs, CQRS, Clean Architecture, Async Programming Frontend : React with TypeScript Database : SQL Server, MongoDB Testing : Strong experience in writing unit tests with xUnit/NUnit, mocking with Moq, and understanding of test-driven development (TDD) DevOps & Cloud : Azure App Services, Azure Functions, Docker, Azure DevOps, CI/CD Strong grasp of Clean Code, SOLID Principles, and modern software engineering practices Excellent communication and leadership skills to work across QA, BA, and design teams Must be highly proficient in using AI tools to increase individual and team productivity Good to have: Experience with Angular Domain knowledge in Banking, Financial Services, and Insurance (BFSI) Knowledge of caching, distributed architecture, or messaging patterns (e.g., RabbitMQ, Azure Service Bus, Redis)
Hiring a Backend Developer with .NET Core, C#, Azure & REST API experience. Must have hands on AI integration (OpenAI, Azure Cognitive Services) into apps. Strong in clean architecture, CI/CD, SQL/MongoDB, and AI tools like Copilot/ ChatGPT
Key Responsibilities: Design, develop, and maintain scalable and secure APIs using .NET (C#, ASP.NET Core). Integrate LLMs such as OpenAI GPT, Azure OpenAI, or other NLP/ML models into .NET-based applications. Collaborate with data scientists and AI engineers to deploy and consume machine learning models. Implement prompt engineering logic and fine-tune API interactions with LLMs. Ensure high performance, responsiveness, and scalability of backend systems. Maintain clean, testable, and well-documented code.
Role & responsibilities . Strategic HR Leadership Develop and implement HR strategies aligned with Verveos mission and goals. Partner with leadership to scale teams, improve organizational structure, and support business outcomes. 2. Talent Acquisition & Employer Branding Lead end-to-end recruitment for key roles; improve hiring processes and time-to-hire. Build Verveos employer brand on platforms like LinkedIn, Naukri, and social media. 3. Performance Management & L&D Design and manage performance reviews, feedback systems, and goal-setting. Identify training needs and oversee learning and development initiatives. 4. Culture & Employee Engagement Build a people-first, inclusive, and high-performance work culture. Organize team-building activities, wellness programs, and employee recognition. 5. HR Operations & Compliance Ensure compliance with labor laws, policies, and HR best practices. Maintain HRIS, manage payroll inputs, leaves, employee records, and exit processes.
Role & responsibilities Develop and maintain responsive web applications using HTML, CSS, and JavaScript frameworks. Collaborate with UI/UX designers to implement clean, intuitive user interfaces. Optimize applications for maximum speed and scalability. Work closely with backend developers to integrate APIs and ensure smooth data flow Test, debug, and troubleshoot code issues across browsers and devices. Stay updated with the latest frontend trends and technologies. Preferred Skills: Proficiency in HTML5, CSS3, JavaScript (ES6+), Typescript Experience with modern JavaScript frameworks/libraries like React.js, Vue.js, or Angular Familiarity with version control (e.g., Git) Knowledge of RESTful APIs and integration practices Understanding of responsive design and cross-browser compatibility
Key Responsibilities: Design and develop motion graphics, short videos, and animations for social media, digital ads, and campaigns. Create compelling static and dynamic visual assets (posters, social media creatives, branding materials). Work on storyboarding, visual concepts, and bringing fresh creative ideas. Collaborate with the marketing team to align designs with brand guidelines and campaign objectives. Stay updated on design trends, tools, and techniques to deliver high-quality, modern content. Skills & Qualifications: Strong proficiency in Adobe After Effects, Premiere Pro, Photoshop, Illustrator, Figma/Canva (or similar tools). Expertise in motion graphics, animation, and video editing . Solid knowledge of graphic design principles, typography, and layout . Ability to create engaging content optimized for digital platforms (Instagram, YouTube, etc.). Creativity, attention to detail, and strong storytelling ability. Portfolio showcasing both motion design and graphic design projects
Role & responsibilities Design, fine-tune, and evaluate generative models (transformers) for tasks such as summarization, Q&A, code generation, and retrieval-augmented generation (RAG). Implement data pipelines for training & evaluation: dataset collection, cleaning, labeling, and augmentation. Develop, test, and maintain prompt engineering practices and templates; measure prompt drift and performance. Build RAG pipelines (embeddings, vector store selection, index management, retriever tuning). Containerize models and services (Docker), create reproducible deployments (FastAPI / Flask / .NET wrappers), and help deploy to staging/production (K8s, serverless, or cloud infra). Implement monitoring, logging, and evaluation metrics for model performance and data/feature drift. Work with product and infra teams to integrate AI features into user-facing apps and ensure secure usage (rate-limits, content filtering, PII redaction). Keep up with new model releases and evaluate third-party APIs (OpenAI, Anthropic, Meta, etc.) for integration. Write clear documentation, runbooks, and reproducible experiments. Required qualifications 23 years professional experience in applied ML / NLP / generative model work. Strong Python skills and experience with ML frameworks: PyTorch (preferred) or TensorFlow. Experience with transformer models and libraries: Hugging Face Transformers, sentence-transformers, or equivalent. Experience with embeddings and vector DBs (e.g., FAISS, Milvus, Pinecone, Weaviate). Good understanding of model evaluation: ROUGE, BLEU, Accuracy, F1, human eval basics, and safety metrics. Solid software engineering fundamentals: Git, unit testing, code reviews, and RESTful APIs. Experience with LLM orchestration tools / agent frameworks (LangChain, LlamaIndex, LangGraph, Semantic Kernel/Autogen). Deliverables / KPIs (first 36 months) Ship at least one end-to-end GenAI feature (prototype staged deployment) with documented evaluation results. Reproducible training/fine-tuning pipeline and an experiment tracking dashboard. Production-ready inference endpoint with basic monitoring and cost controls. Documented prompt templates and a rollback strategy for model releases.