Full Stack AI Engineer

Stellarmind.ai

📍 Ahmedabad, Gujarat, India🏢 presencial🎯 junior
Stellarmind.ai is looking for a Full Stack AI Engineer with 1–2 years of relevant professional experience to build full-stack applications with integrated AI/ML capabilities. Note: This is not a fresher position. Candidates must have 1–2 years of relevant industry experience. Key Responsibilities: - Design, develop, and maintain full-stack web applications with AI-powered features - Build responsive and user-friendly frontend interfaces - Develop scalable backend services, APIs, and application logic - Integrate AI/ML models, LLMs, and Generative AI capabilities into applications - Work on LLM-based applications, chatbots, and RAG-based solutions - Integrate third-party APIs and AI services such as OpenAI, Gemini, or other LLM providers - Manage databases, data processing, and backend integrations - Optimize application performance, scalability, and security - Collaborate with the development team to build and deploy end-to-end AI solutions Location: Ahmedabad, Gujarat (onsite role). How to apply: send your updated resume to avani.patel@stellarmind.ai

Requisitos

  • 1–2 years of hands-on professional experience in Full Stack Development or AI Application Development
  • Strong programming knowledge in Python
  • Experience with frontend technologies such as React.js, JavaScript, HTML, and CSS
  • Experience with backend frameworks such as FastAPI, Flask, or Django
  • Knowledge of REST APIs and backend integrations
  • Experience with databases such as PostgreSQL, MySQL, or MongoDB
  • Basic to good understanding of Machine Learning, Generative AI, and LLMs
  • Hands-on experience integrating AI APIs into web applications
  • Familiarity with Git, debugging, and application deployment

Diferenciais

  • Experience with LangChain or LlamaIndex
  • Knowledge of RAG (Retrieval-Augmented Generation)
  • Experience with vector databases such as Pinecone, FAISS, or ChromaDB
  • Familiarity with TensorFlow, PyTorch, or Scikit-learn
  • Experience with Docker and cloud platforms such as AWS, Azure, or GCP
  • Knowledge of AI agents and automation workflows
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