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! Originally posted on Himalayas