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Job Title: MERN Fullstack Developer with Generative AI Location: Hyderabad (Hybrid) Experience: 5-8 Years Budget- 20 LPA Role Summary The selected resource(s) will contribute to the development of scalable web-based systems supporting content production, AI-powered learning workflows, and digital course creation platforms (including Boostr, Journeybuilder, and DesignPilot). A core focus of this role will be the architecture and implementation of production-grade Generative AI features, including RAG pipelines and autonomous agentic workflows. Core Responsibilities ● Full Stack Development: Develop and maintain complex, scalable web applications using MongoDB, Express.js, React.js, and Node.js. ● AI Architecture & Implementation: Design and orchestrate Retrieval-Augmented Generation (RAG) pipelines, semantic search components, and agentic workflows within the platform ecosystem. ● API & Backend Engineering: Design modular, high-performance backend APIs supporting AI-assisted workflows and automated course production pipelines. ● Frontend Engineering: Build responsive, accessible, high-performance frontends with dynamic data visualizations. ● Cloud & AI Integration: Integrate LLM APIs, vector databases, and third-party cloud services (AWS, OpenAI, Hugging Face, Anthropic, and analytics tools). ● DevOps & Microservices: Support microservices architecture , Docker/Kubernetes containerization, and automated CI/CD workflows. ● Quality Assurance: Implement robust testing strategies spanning Unit, Integration, and E2E layers (Jest, Cypress, Supertest). ● Performance & Security: Optimize data querying, LLM token consumption, latency, and overall application security across cloud environments. ● Cross-Functional Collaboration: Partner closely with UI/UX designers, AI researchers, product managers, and content teams. Technical Requirements Frontend ● Advanced React.js (Context API, Redux Toolkit, or React Query). ● Modern UI libraries (MUI, TailwindCSS, or Ant Design). ● Form management via Formik or React Hook Form. ● Data visualization using D3.js or Chart.js. Backend & Databases ● Advanced Node.js and Express.js architecture. ● Deep understanding of MongoDB (advanced schema design, aggregation pipelines, indexing, and performance tuning). ● API Security protocols (OAuth2, JWT, RBAC, and HTTPS). Generative AI & Orchestration ● AI Frameworks: Hands-on experience building complex AI workflows using LangChain, LlamaIndex, or similar orchestration libraries. ● SDKs & APIs: Expert-level utilization of OpenAI SDK, Anthropic Claude API, and Cohere. ● Agentic AI: Proven track record of developing Simple/Autonomous Agents with tool-calling and function-calling capabilities. ● RAG Architectures: Experience designing Retrieval-Augmented Generation (RAG) systems, including chunking strategies, embedding generation, and integration with vector databases (e.g., Pinecone, Chroma, Milvus, or MongoDB Atlas Vector Search). DevOps & Infrastructure ● Version control with Git and automation via GitHub Actions. ● Containerization using Docker and basic Kubernetes orchestration. ● High-availability API design (REST required, GraphQL preferred). ● Application monitoring and observability (Sentry, Prometheus, or Grafana). ● Bonus: Familiarity with LMS standards (SCORM, xAPI). Ideal Candidate Profile ● Entrepreneurial, self-driven developer who thrives on ownership and autonomy. ● Strong collaborator with excellent communication and technical articulation skills. ● Pragmatic, hands-on builder with extensive end-to-end software delivery experience. ● Deep interest or background in AI-driven education platforms and EdTech ecosystems. Experience & Qualifications ● 5–8 years of hands-on, production-level full-stack MERN development experience. ● Demonstrated experience building, deploying, and scaling production-grade applications that natively leverage LLMs. ● Strong English communication skills (both written and verbal) for technical documentation and cross- functional alignment. ● Bachelor's or Master's degree in Computer Science, Information Technology, or equivalent practical Please share your CV at [HIDDEN TEXT]
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