As a Full Stack Developer with strong React expertise, you will play a crucial role in designing and building scalable web applications. Your responsibilities will span across the entire stack, from creating responsive UIs using React to implementing RESTful APIs and database schemas. It will be your duty to ensure the performance, security, and maintainability of the applications you develop. Collaboration with designers, backend engineers, and product managers will be essential in delivering modern and user-centric solutions. Your key responsibilities will include designing and implementing user interfaces using React.js, focusing on responsiveness and performance. You will also be responsible for developing and maintaining backend services using technologies such as Node.js, Express, .NET, or Python. Building and consuming RESTful APIs and/or GraphQL endpoints, integrating with third-party APIs, authentication providers, and data platforms will also be part of your daily tasks. Writing clean, maintainable, and testable code following best practices and design patterns is crucial. Active participation in code reviews, CI/CD pipeline maintenance, and agile development processes is expected from you. Collaborating with product and design teams to translate business requirements into technical solutions will be key to the success of the projects you work on. Furthermore, deploying and monitoring applications using cloud platforms like AWS, Azure, or GCP will be part of your routine tasks. The required skills and qualifications for this role include a minimum of 2 years of experience in React.js, along with strong knowledge of JavaScript/TypeScript, HTML5, and CSS3. Experience with backend frameworks such as Node.js/Express, Django, Flask, or ASP.NET Core is essential. A solid understanding of databases, whether relational (PostgreSQL, MySQL) or NoSQL (MongoDB, Firebase), is also required. Proficiency with Git, Docker, and modern development toolchains is expected, as well as familiarity with unit testing and tools like Jest, Mocha, or Cypress. Strong problem-solving skills and the ability to work independently in a fast-paced environment are highly valued. Preferred qualifications for this role include experience with Next.js, SSR/SSG, or micro-frontends. Cloud deployment experience with platforms like Vercel, Netlify, Azure App Services, or AWS Lambda is a plus. Understanding of CI/CD pipelines, infrastructure as code, and containerization is beneficial. Exposure to design systems and tools like Storybook, Tailwind CSS, or Material UI, as well as experience working in an Agile/Scrum team environment, are also desirable traits.,
Job Title: AI Engineer (LangChain, Azure Ecosystem) Location: On-Site, Coimbatore Employment Type: Full-Time Experience: 3–6 years About the Role: We’re looking for a passionate and skilled AI Engineer to join our team and help build intelligent, LLM-driven applications using LangChain , Pydantic , and the broader Azure AI ecosystem . In this role, you will work on building scalable, modular, and production-grade AI workflows with a strong emphasis on quality, maintainability, and performance. This is an on-site, full-time position and an excellent opportunity to work on AI tooling in a flexible environment. Responsibilities: Design, develop, and maintain AI/LLM-based applications using LangChain and related components. Structure complex data flows using LangChain Runnables , agents, and memory components. Build reusable schemas and validation logic using Pydantic . Integrate with Microsoft Azure services, including (but not limited to): Azure OpenAI Azure Functions Azure Search Azure Blob Storage Optimize prompt engineering and caching strategies. Develop internal tooling to support modular AI pipelines. Collaborate with product, design, and infra teams to deploy robust AI systems in production. Requirements: Must-Have: Strong Python skills with experience in LangChain and its ecosystem. Solid understanding of Pydantic (models, validation, serialization). Familiarity with LLMs (OpenAI, Azure OpenAI, etc.). Experience working with Microsoft Azure services. Ability to write clean, modular, and testable code. Good to Have: Familiarity with: Azure Cognitive Search Vector stores (e.g., FAISS, Redis, Pinecone) Prompt templates and prompt optimization Knowledge of async programming in Python. Experience with cloud-native deployment workflows (Docker, CI/CD). What we offer Competitive compensation High ownership environment Opportunity to work on cutting-edge AI products