MERN Stack Developer

🔧 Key Responsibilities:

• Design, develop, test, and deploy full-stack web applications using MERN Stack.
• Create RESTful APIs and integrate with frontend interfaces.
• Optimize components for maximum performance across a vast array of web-capable devices and browsers.
• Collaborate with designers, project managers, and backend developers to implement new features.
• Write clean, reusable, and well-documented code.
• Troubleshoot and debug issues across the stack.
• Participate in code reviews and contribute to team knowledge sharing.

Full Stack senior developer with ReactJS & Redux

Qualifications:

3 - 4 years of experience in application development and maintenance

Bachelor’s Degree/B.Tech/B.E in Computer Science or a related discipline

Advanced knowledge of HTML and CSS

Experience with using and building automated tests

Experience with CI/CD tooling (at least Git and Jenkins)

Experience with the Agile/Scrum/Kanban way of working

Proficient understanding of code versioning tools, such as Git

Experience with a modern frontend framework (e.g. Polymer, Redux, React, Angular, Vue.js or other component-based frameworks)

Experience with web paradigms such as REST, Responsive Web Design, Test-driven Development (TDD), Dependency Injection, etc.

Experience with common front-end development tools such as Babel, Webpack, NPM, etc.

Knowledge of performance testing frameworks including Mocha and Jest.

Knowledge of RESTful APIs.

Understanding of AWS, S3, API Gateway, DynamoDB, RDS, Lambda.

We're looking for an experienced Full-Stack Engineer who can architect and build AI-powered agent systems from the ground up. You'll work across the entire stack—from designing scalable backend services and LLM orchestration pipelines to creating frontend interfaces for agent interactions through widgets, bots, plugins, and browser extensions.

You should be fluent in modern backend technologies, AI/LLM integration patterns, and frontend development, with strong systems design thinking and the ability to navigate the complexities of building reliable AI applications.

Note: This is an on-site, 6-day-a-week role. We are in a critical product development phase where sthe peed of iteration directly determines market success. At this early stage, speed of execution and clarity of thought are our strongest moats, and we are doubling down on both as we build through our 0→1 journey.

WHAT YOU BRING:

You take ownership of complex technical challenges end to end, from system architecture to deployment, and thrive in a lean team where every person is a builder. You maintain a strong bias for action, moving quickly to prototype and validate AI agent capabilities while building production-grade systems. You consistently deliver reliable, scalable solutions that leverage AI effectively — whether it's designing robust prompt chains, implementing RAG systems, building conversational interfaces, or creating seamless browser extensions.

You earn trust through technical depth, reliable execution, and the ability to bridge AI capabilities with practical business needs. Above all, you are obsessed with building intelligent systems that actually work. You think deeply about system reliability, performance, cost optimization, and you're motivated by creating AI experiences that deliver real value to our enterprise customers.

WHAT YOU WILL DO:

Your primary responsibility (95% of your time) will be designing and building AI agent systems across the full stack. Specifically, you will:

• Architect and implement scalable backend services for AI agent orchestration, including LLM integration, prompt management, context handling, and conversation state management.
• Design and build robust AI pipelines — implementing RAG systems, agent workflows, tool calling, and chain-of-thought reasoning patterns.
• Develop frontend interfaces for AI interactions including embeddable widgets, Chrome extensions, chat interfaces, and integration plugins for third-party platforms.
• Optimize LLM operations — managing token usage, implementing caching strategies, handling rate limits, and building evaluation frameworks for agent performance.
• Build observability and monitoring systems for AI agents, including prompt versioning, conversation analytics, and quality assurance pipelines.
• Collaborate on system design decisions around AI infrastructure, model selection, vector databases, and real-time agent capabilities.
• Stay current with AI/LLM developments and pragmatically adopt new techniques (function calling, multi-agent systems, advanced prompting strategies) where they add value.

BASIC QUALIFICATIONS:

• 4–6 years of full-stack development experience, with at least 1 year working with LLMs and AI systems.
• Strong backend engineering skills: proficiency in Node.js, Python, or similar; experience with API design, database systems, and distributed architectures.
• Hands-on AI/LLM experience: prompt engineering, working with OpenAI/Anthropic/Google APIs, implementing RAG, managing context windows, and optimizing for latency/cost.
• Frontend development capabilities: JavaScript/TypeScript, React or Vue, browser extension development, and building embeddable widgets.
• Systems design thinking: ability to architect scalable, fault-tolerant systems that handle the unique challenges of AI applications (non-determinism, latency, cost).
• Experience with AI operations: prompt versioning, A/B testing for prompts, monitoring agent behavior, and implementing guardrails.
• Understanding of vector databases, embedding models, and semantic search implementations.
• Comfortable working in fast-moving, startup-style environments with high ownership.

PREFERRED QUALIFICATIONS:

• Experience with advanced LLM techniques: fine-tuning, function calling, agent frameworks (LangChain, LlamaIndex, AutoGPT patterns).
• Familiarity with ML ops tools and practices for production AI systems.
• Prior work on conversational AI, chatbots, or virtual assistants at scale.
• Experience with real-time systems, WebSockets, and streaming responses.
• Knowledge of browser automation, web scraping, or RPA technologies.
• Experience with multi-tenant SaaS architectures and enterprise security requirements.
• Contributions to open-source AI/LLM projects or published work in the field.

WHAT WE OFFER:

• Competitive salary + meaningful equity.
• High ownership and the opportunity to shape product direction.
• Direct impact on cutting-edge AI product development.
• A collaborative team that values clarity, autonomy, and velocity.

Full stack developer (react, node js)

Full stack developer (react, node js)

Full stack developer (react, node js)

Full stack developer (react, node js)

He can develop independetly website.

The ideal candidate should be a proactive individual with strong communication skills and a team player. He or she should have experience of at least 5+ years in MEAN stack development.

Should have hands-on experience in the following:

• Hands-on experience in designing and developing applications using MEAN stack and have at
• least 5+ years experience on the same.
• Should have excellent in-depth knowledge of Nodejs and Mongo DB.
• Working knowledge of RESTful web services.
• Working knowledge of Angular js.
• Basic understanding of front-end technologies, such as HTML5, and CSS3.
• Integration of user-facing elements developed by front-end developers with server-side logic
• Design and implementation of low-latency, high-availability, and performant applications
• Proficient understanding of code versioning tools, such as Git
• Good communication skills.
• Experience in working effectively within a team