Full-stack ai engineer
2 weeks ago
We are seeking a highly motivated and versatile Full-Stack AI Engineer to join our team. The ideal candidate will have expertise across the entire application stack, from building modern, scalable APIs with Python (Django/Fast API) and developing dynamic UIs with React, to architecting sophisticated, stateful AI agentic systems using Lang Graph. This is a crucial role for someone passionate about being at the intersection of web development and cutting-edge generative AI.ResponsibilitiesBackend & API Development (Django/Fast API)Design and implement robust, high-performance API services using Fast API for core services and asynchronous tasks.Develop and maintain data models, business logic, and secure authentication/authorization within the Django framework.Integrate the Lang Graph agent layer into the backend, ensuring seamless communication and state management via RESTful/Web Socket APIs.Manage relational databases (Postgre SQL or similar), including schema design, migrations, and query optimization using Django ORM and SQLAlchemy.Frontend Development (React.js)Build responsive, modern, and highly interactive user interfaces using React.js and Type Script/Java Script.Develop clean, reusable components and manage application state (e.g., using Redux, Zustand, or React Context).Design the user-facing interface for interacting with the AI agents, including real-time streaming updates and visualizing agent execution paths.AI/Agent Engineering (Lang Graph)Architect, develop, and deploy complex, stateful multi-agent workflows using the Lang Graph framework.Define and manage the agent state, implement custom nodes, conditional routing, and human-in-the-loop logic.Integrate various tools and external APIs (e.g., search, internal databases) as tools for the LLM agents.Work with Generative AI models (e.g., Open AI, Gemini, or a self-hosted model) to enhance application functionality.Dev Ops & GeneralWrite comprehensive unit and integration tests across the full stack.Utilize Docker for containerization and work with CI/CD pipelines for automated deployment.Collaborate with product managers and designers to translate business requirements into technical specifications.Conduct code reviews and champion best practices in code quality, security, and scalability.Qualifications5+ years of professional experience as a Full-Stack Developer or a similar role.Expert proficiency in Python and modern Python web frameworks:Django (including Django REST Framework/ORM).Fast API (experience with async programming is a must).Strong expertise in Front-End development:React.js (or Next.js) with a deep understanding of hooks, component lifecycle, and state management.Proficiency in HTML5, CSS3, Java Script/Type Script, and modern styling libraries (e.g., Tailwind CSS, Material UI).Proven experience in AI/Agentic Development:Hands-on experience with Lang Graph for building stateful, complex LLM workflows (demonstrable portfolio projects are highly valued).Familiarity with Lang Chain/Lang Smith for observability and testing.Experience with Postgre SQL or another relational database.Proficiency with Git and modern development workflows (Git Hub/Git Lab, pull requests, etc.).Bonus PointsExperience deploying AI/LLM applications at scale (e.g., using Kubernetes, AWS/GCP/Azure).Knowledge of Web Socket implementation for real-time communication between the Lang Graph backend and the React frontend.Experience in prompt engineering, tool/function calling, and RAG (Retrieval-Augmented Generation) patterns.Familiarity with Graph QL.
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