Python Full Stack Developer (Python-Heavy / Backend-Focused) with AI/ML
Location Miami, FL
We are seeking a highly skilled Full Stack Developer with deep, hands-on Python backend engineering experience as the core of the role, complemented by working proficiency in ReactJS for frontend development. This is a backend-first full-stack position candidates must demonstrate strong depth in Python services, database design, and authentication/authorization frameworks, along with a solid understanding of AI, Agentic AI systems, and the Model Context Protocol (MCP).
Must-Have Skills
- Python Backend (Primary): Strong, hands-on experience building backend services with FastAPI / Flask / Django async patterns, dependency injection, middleware, API versioning, testing, and production deployment
- Databases: Deep practical experience with PostgreSQL / MySQL / SQL Server complex queries, joins, indexing, transactions, ORM usage (SQLAlchemy / Django ORM), and performance tuning
- Authentication & Security: Demonstrated depth in auth frameworks beyond JWT basics OAuth 2.0, OIDC, SSO, RBAC, secure session handling, and API security best practices
- RESTful APIs: Proven experience designing, building, and integrating REST APIs and backend services at scale
- AI / Agentic AI / MCP: Solid understanding of LLM fundamentals, agentic AI architectures (planning, tool use, multi-step workflows), and the Model Context Protocol (MCP) for agent system integration; familiarity with frameworks such as LangChain / LangGraph is a strong plus
- ReactJS (Secondary): Hands-on expertise with ReactJS Hooks, component lifecycle, and state management (Redux / Context API)
Candidate Profile Expectations
- Backend-dominant full-stack engineer: roughly 80 90% Python/backend and 10 20% React in day-to-day work, must have AI experience.
- Must be able to demonstrate, in technical conversation, real depth in Python, database design, and authentication frameworks not just frontend fluency
- Frontend-heavy profiles (e.g., 80/20 frontend/backend) will not be a fit for this role
- Integrate AI and LLM-powered capabilities into backend services, including agentic workflows and tool-calling patterns
- Apply MCP (Model Context Protocol) concepts to connect AI agents with backend services, APIs, and data sources
- Collaborate with cross-functional teams on API contracts, data flows, and end-to-end feature delivery
Resume direct to kumar @ techpro-inc . com with Subject: Applying from Dice (only this line)
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