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Indeema is looking for a skilled AI-First Product Engineer (Full-Stack) to join our Team.
Job Responsibility:
Design, implement, and maintain complex full-stack features, collaborating with AI agents (Google Antigravity, Cursor, etc.) for cross-stack implementation
Develop and maintain Antigravity Skills to automate repetitive workflows and improve development efficiency
Maintain and optimize core business logic, ensuring high standards of performance, security, and maintainability for both AI-generated and manual code
Design and develop RESTful APIs using FastAPI, Pydantic schemas, and SQLAlchemy with efficient database interaction
Implement and support integrations with external systems such as Jira and LDAP
Manage database migrations with Alembic and maintain containerized environments using Docker
Build responsive and accessible user interfaces using semantic HTML and modern frontend practices
Participate in code reviews, resolve complex merge conflicts, and collaborate with the team to maintain high code quality
Requirements:
3+ years in software development with Python
Building REST APIs with FastAPI and Pydantic, including data validation, asynchronous programming (AsyncIO), and background task processing
Working with relational databases and ORMs (e.g., SQLAlchemy), integrating with external services and APIs (OAuth2/LDAP, WebSockets, third-party APIs)
Writing unit and integration tests (Pytest or similar)
Developing React (18+) applications with Hooks, modern architecture, TypeScript, and client-side state management
Creating responsive UI with Tailwind CSS or similar component libraries
Experience working with AI-assisted development workflows and delegating complex tasks to AI agents
Practical experience with Google Antigravity (Agent Manager, Artifacts, Skill development) or similar agent-based AI development tools
Ability to validate, refine, and maintain code generated by AI systems
Collaborating via Git, code reviews, and team-based development workflows
Nice to have:
Experience with Socket.IO or other real-time communication technologies
Experience building AI-powered features or integrating LLM APIs
Familiarity with CI/CD pipelines and containerized environments (Docker)