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!