Senior Python Full-Stack AI Engineer

Job Title:  Senior Python Full-Stack AI Engineer

Location:  Remote

Duration: / Term:  6+ months – Contract

Job Description:

Experience Desired: 10+ Years.

Qualification:

         A Senior Python Full-Stack AI Engineer is responsible for designing and building scalable, production-ready applications that support AI/ML platforms, developer workflows, and data-driven systems. This role combines strong backend engineering with modern frontend development to create intuitive user interfaces, robust APIs, and reliable internal tools. The engineer works closely with platform, infrastructure, AI/ML, and data engineering teams to develop experimentation platforms, analytics dashboards, observability solutions, and evaluation systems while ensuring high standards of code quality, testing, security, and maintainability.

Responsibilities:

• Design and develop scalable Python-based backend applications and RESTful APIs.
• Build user-facing workflows to initiate, monitor, and review execution runs.
• Develop modern web-based UI components for dashboards, logs, metrics, and analytics.
• Design stable service contracts, schemas, and integration patterns for backend services.
• Create data models for run manifests, execution results, metrics, logs, and artifacts.
• Develop comparison and analytics features for evaluating runs, configurations, and model performance.
• Implement logging, monitoring, diagnostics, and observability across the application lifecycle.
• Build internal developer tools, CLI utilities, and workflow automation features.
• Implement CRUD operations for execution metadata, logs, artifacts, and outputs.
• Develop runtime configuration frameworks, feature flags, and environment-specific settings.
• Refactor proof-of-concept solutions into scalable, maintainable production applications.
• Ensure comprehensive testing, validation, code reviews, and adherence to coding standards.
• Collaborate with Platform, Infrastructure, AI/ML, and Data Engineering teams to align system architecture and integrations.
• Produce technical documentation and maintain compliance with client security and development policies.

Key Skills:

Python, FastAPI/Django, REST APIs, React.js, SQL/PostgreSQL, Data Modeling, HTML/CSS/JavaScript, Logging & Observability, PyTest, Git, Docker, CI/CD.