Job Description

Airlearn is a next-gen AI-powered language learning app that uses autonomous agents and LLMs to create personalized, immersive learning experiences. We're reimagining how people learn languages with smart conversational agents, real-time feedback, and adaptive content that actually sticks. Built by a small, fast-moving team in Bangalore, we're on a mission to make language learning intuitive, effective, and fun. We?re based out of Domlur, Bangalore and are assembling a team of makers, hackers, and builders to push the frontier of what autonomous systems can do in the real world. ? What You?ll Be Doing: - Build, ship, and scale LLM-powered agentic systems. - Design robust tools, memory flows, and feedback loops to make our AI smarter and more adaptive. - Architect and optimize backend systems for reliability, scalability, and performance. - Work with LangChain, OpenAI, Anthropic APIs, vector DBs, and toolchains.' - Mentor junior engineers and contribute to code reviews and best practices. - Collaborate cross-functionally to build reusable, modular workflows for reasoning and action. -Debug, optimize, and iterate quickly in a startup environment. - Take complete ownership of the features you design and ship. ? What We?re Looking For: -2?5 years of experience working on ML/AI-driven products or systems. - Proven hands-on experience building and deploying applications with LLMs (GPT, Claude, Mistral, etc.). - Strong programming expertise in Python and/or Go, with experience in APIs and async workflows. -Experience in designing scalable, production-ready backend systems. - Exposure to frameworks like LangChain, RAG, or CrewAI is a plus. - Familiarity with vector databases, embeddings, and retrieval pipelines. - Comfortable working in fast-paced startup environments and taking initiative. -Strong debugging, problem-solving, and optimization skills. ? Nice-to-Haves: - Side projects or open-source contributions with visible impact. - Prompt engineering or agent design expertise. - Prior experience working at an AI startup or scaling LLM products. - A genuine passion for exploring the possibilities and limitations of autonomous agents. What You?ll Get: - Full ownership of features and agent behavior. - A team that deeply cares about AI ? beyond the hype. - Office in Domlur with cold brew, whiteboards, and an environment that encourages big, bold ideas.