Applied AI Engineer with Fullstack

About the Role We are looking for a hands-on Applied AI / Full Stack Engineer to build AI-powered products and experiences. The ideal candidate should be comfortable working across AI, backend, and frontend and taking features from idea to production. Key Responsibilities • Build and deploy AI/LLM-powered applications and features. • Develop AI agents, RAG pipelines, tool/function-calling workflows and integrations. • Build scalable backend APIs and services. • Develop frontend applications using React/Next.js. • Integrate LLMs such as OpenAI, Claude, Gemini, etc. • Work with databases, cloud platforms and production deployments. • Collaborate with product and design teams and take ownership of features end-to-end. Must-Have Skills • 3–6 years of software engineering experience. • Strong Python and/or TypeScript/Node.js . • Strong React.js / Next.js / TypeScript experience. • Hands-on experience with LLMs / Generative AI . • Experience with RAG, AI Agents or tool/function calling . • Experience building and deploying real-world products. • Good understanding of APIs, databases and cloud deployment. Good to Have • LangChain / LangGraph / LlamaIndex • PostgreSQL / Vector Databases • AWS / GCP / Azure / Vercel • Docker / CI/CD • Experience in an early-stage startup or AI product company. We are looking for builders who can take a problem, experiment, build, ship and improve it—not just candidates with AI keywords on their resume. Skills:- Artificial Intelligence (AI), Large Language Models (LLM), Fine-tuning LLMs, Retrieval Augmented Generation (RAG), NextJs (Next.js), NodeJS (Node.js) and Python