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Senior Full Stack Developer (AI) at KodeKloud. Location Information: Remote (India). . KodeKloud. ’s a fast-growing EdTech SaaS company dedicated to transforming the way businesses upskill their teams in DevOps, Cloud Computing, and IT. Our platform offers a hands-on, practical learning experience trusted by over 1 million users worldwide. . . We at Kodekloud are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any part of the world. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration. . . As a remote-first company, our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates.. Key Responsibilities. AI Product Development. Design and develop AI-powered features for our e-learning platform, including the AI Assistant and new AI products. Implement and optimize RAG (Retrieval-Augmented Generation) systems, including advanced Graph RAG architectures. Build robust monitoring, tracing, and observability systems using LangSmith and other tools. Integrate and fine-tune LLMs for educational use cases. Create scalable APIs using Python and FastAPI to power AI features. Frontend Development. Build responsive, intuitive interfaces for AI-powered learning experiences. Develop real-time features using WebSockets and Server-Sent Events. Ensure seamless integration between AI capabilities and user interfaces. Innovation & Optimization. Identify opportunities to leverage AI for improving learning outcomes. Rapidly prototype proof-of-concepts with cutting-edge AI tools. Continuously optimize existing systems for performance and scalability. Propose innovative solutions to enhance our AI Assistant's capabilities. Required Qualifications. Experience. Minimum 5-10 years of full stack development experience. At least 1 years working with AI/ML technologies in production. Proven track record of delivering scalable applications serving large user bases. Must-Have Technical Skills. Backend & AI. Python & FastAPI. : Expert-level proficiency. LangChain & LangGraph. : Production experience building LLM applications. RAG Systems. : Deep experience with RAG implementations, including Graph RAG. Vector Databases. : Hands-on experience with Pinecone, ChromaDB, or similar. LLM Platforms. : OpenAI, Anthropic Claude, and Hugging Face integrations. Fine-tuning LLMs. : Knowledge of fine-tuning and deploying custom language models. Monitoring & Observability. :. LangSmith for LLM application monitoring. Prometheus & Grafana for metrics. Google Cloud Monitoring. Sentry for error tracking. Frontend. JavaScript/TypeScript. : Strong modern JavaScript proficiency. Frameworks. : Expert-level in at least one:. React (with Next.js). Vue.js 3. Styling. : Tailwind CSS proficiency. Real-time Communication. : WebSockets and Server-Sent Events implementation. Infrastructure. Cloud Platforms. : GCP experience preferred, AWS/Azure acceptable. Containerization. : Docker and Kubernetes. Databases. : PostgreSQL, MongoDB. Message Queue. : Redis (preferred). Version Control. : Git (GitHub/GitLab). Essential Attributes. Self-starter mentality with ability to drive projects independently. Fast execution mindset - able to rapidly move from idea to implementation. Strong problem-solving skills with systematic debugging approach. Excellent communication skills for technical and non-technical audiences. Passion for education technology and improving learning outcomes. Nice-to-Have Qualifications. Contributions to open-source AI projects. Experience with AI safety, alignment, and responsible AI practices. Background in specific AI domains (NLP, Computer Vision, Speech Recognition). Experience in EdTech or e-learning platforms. Knowledge of additional agent frameworks (CrewAI, AutoGen). DevOps/SRE/Networking experience. What We Offer. Work on cutting-edge AI projects impacting millions of learners globally. Flexibility to experiment with proof-of-concepts using the latest AI tools. Access to state-of-the-art hardware and software resources. Professional development budget for conferences, courses, and certifications. Additional learning opportunities through KodeKloud's platform. Collaborative environment with AI and education technology experts. Competitive compensation . Flexible work arrangements. Our Tech Stack. Backend. : Python, FastAPI. AI/ML. : LangChain, LangGraph, OpenAI, Anthropic, Pinecone, ChromaDB, Hugging Face. Frontend. : React/Vue.js, TypeScript, Tailwind CSS, Next.js. Infrastructure. : GCP (primary), Docker, Kubernetes, MongoDB, PostgreSQL, Redis. Monitoring. : LangSmith, Prometheus, Grafana, Sentry, Google Cloud Monitoring. Version Control. : Git, GitHub/GitLab. Join us in transforming how millions of people learn technology through the power of AI!. .