AI Fullstack Engineer

About the Offer

Join the DS STREAM team, which combines engineering precision with the latest technologies in generative artificial intelligence. As an AI Fullstack Engineer, you will work on an intelligent ecosystem that is revolutionizing the way global brands analyze their products. Your task will be to build web tools integrated with multimodal LLMs that automatically read the physical world and turn it into strategic data.

Requirements Description:

We are looking for engineers who understand the difference between simply making a regular API call to a model and building autonomous agents and Human-in-the-Loop processes.

• Fullstack Development: Strong experience with Python (FastAPI/Flask) and React/Next.js.
• Generative AI: Hands-on proficiency working with models (GPT-4o, Claude, Gemini) and frameworks such as LangGraph, LangChain, or CrewAI.
• Data Vision: Familiarity with data extraction from images (OCR / Vision LLMs).
• Experience integrating backend services with Azure, GCP, and/or AWS (e.g. storage, databases, messaging, server-side components).
• Building modern, responsive UI components in React + TypeScript, focused on reusability, state management, and clean integration with backend APIs.
• Mindset: A "Problem-Solver" approach you dont just code, you understand the impact of AI on competitive advantage.

Nice to have:

• Familiarity with Dash, Streamlit, or Polars.

Responsibilities:

1. Designing, developing, and maintaining applications.
2. Implementing and managing documentation, including request/response models, validation, and error handling.
3. Integrating backend services in a cloud environment (Azure, GCP, or AWS) to ensure secure and reliable communication between services.
4. Designing end-to-end system architecture (frontend, backend, cloud) with a focus on performance, scalability, security, and observability.
5. Working closely with Data Engineering, Data Science, and DevOps teams to accurately translate business requirements into the final product.
6. Code review, improving coding standards, and testing practices.