Summary
✨ AI‑Generated
Join a remote full-stack engineering team with a strong backend emphasis. Build production-grade Python services using modern frameworks, develop React-based interfaces, design REST APIs and microservices, optimize relational databases, and integrate AI/LLM capabilities with agentic workflows and tool-calling patterns. The role spans architecture, performance, reliability, security, and end-to-end feature delivery.
Highlights
Fully remote, full-time engineering role with a strong backend focus. Work across Python services, React interfaces, scalable APIs, microservices, relational databases, and modern AI/LLM integrations, including agentic workflows and tool-calling patterns.
Description
Role : Full Stack Developer (Python-Heavy / Backend-Focused)
Location : Remote
Type: Fulltime
Job Description :
Key Responsibilities
Develop responsive frontend applications using ReactJS (Hooks, state management) to support backend-driven featuresIntegrate AI and LLM-powered capabilities into backend services, including agentic workflows and tool-calling patternsApply MCP (Model Context Protocol) concepts to connect AI agents with backend services, APIs, and data sourcesCollaborate with cross-functional teams on API contracts, data flows, and end-to-end feature deliveryDesign and develop scalable, production-grade backend services using Python frameworks (FastAPI / Flask / Django)Architect, build, and integrate RESTful APIs and backend microservices with strong attention to performance, reliability, and securityDesign and optimize relational database structures using PostgreSQL / MySQL / SQL Server — including schema design, indexing strategies, query optimization, and data modelingImplement robust authentication and authorization frameworks beyond basic JWT — including OAuth 2.0 / OpenID Connect, SSO integrations, session management, token lifecycle (refresh/rotation/revocation), and role-based / attribute-based access control (RBAC/ABAC)
Must-Have Skills:
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
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
ReactJS (Secondary): Hands-on expertise with ReactJS — Hooks, component lifecycle, and state management (Redux / Context API)
