{"schemaVersion":"jobsearcher.job.v1","id":"09ae6cffa2e9d846270eba8d","url":"https://jobsearcher.com/jobs/09ae6cffa2e9d846270eba8d","canonicalUrl":"https://jobsearcher.com/jobs/09ae6cffa2e9d846270eba8d","title":"Senior Full Stack Developer | Python + AI/LLM - Senior 13+ Years","description":"Job Title: Senior Full Stack Developer (Python-Heavy / Backend-Focused) - 13+ Years Location: Miami, FL| Day 1 Onsite Experience: Senior-level | Strong Python backend experienceRole OverviewWe 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).Key ResponsibilitiesDesign 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)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 deliveryMust-Have SkillsPython Backend (Primary): Strong, hands-on experience building backend services with FastAPI / Flask / Django — async patterns, dependency injection, middleware, API versioning, testing, and production deploymentDatabases: Deep practical experience with PostgreSQL / MySQL / SQL Server — complex queries, joins, indexing, transactions, ORM usage (SQLAlchemy / Django ORM), and performance tuningAuthentication & Security: Demonstrated depth in auth frameworks beyond JWT basics — OAuth 2.0, OIDC, SSO, RBAC, secure session handling, and API security best practicesRESTful APIs: Proven experience designing, building, and integrating REST APIs and backend services at scaleAI / 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 plusReactJS (Secondary): Hands-on expertise with ReactJS — Hooks, component lifecycle, and state management (Redux / Context API)Candidate Profile ExpectationsBackend-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 fluencyFrontend-heavy profiles (e.g., 80/20 frontend/backend) will not be a fit for this roleTech Stack :Python / Backend: Python-heavy backend developmentFastAPI: Hands-on experience preferredFull-Stack / ReactAI / LLM: Hands-on production experience preferredRAG / Semantic Search: Hands-on experience with RAG pipelines, vector embeddings, semantic search, and document intelligenceAgentic AI / Tool Calling: Production experience with LLM workflows, agents, tool calling, and orchestrationLLM Fundamentals: Strong understanding of LLM concepts and practical API/model integrationLangChain / LangGraph: Hands-on LangChain; LangGraph experience preferredMCP: MCP concepts/exposure preferredGenAI Prototype Integration: Experience integrating GenAI/RAG POCs or prototypes into applications/production workflowsPostgreSQL / SQLAlchemyREST / Microservices / Async PythonSecurity: OAuth 2.0/OIDC, JWT, RBACCloud / DevOps: Docker, Kubernetes, CI/CD; AWS/GCP/Azure preferred","company":"Infinity Quest","rawCompany":"infinity quest","city":"Miami","state":"FL","isRemote":false,"isActive":false,"createdAt":"2026-09-04T08:24:23.282Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Full Stack Developer | Python + AI/LLM - Senior 13+ Years","description":"Job Title: Senior Full Stack Developer (Python-Heavy / Backend-Focused) - 13+ Years Location: Miami, FL| Day 1 Onsite Experience: Senior-level | Strong Python backend experienceRole OverviewWe 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).Key ResponsibilitiesDesign 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)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 deliveryMust-Have SkillsPython Backend (Primary): Strong, hands-on experience building backend services with FastAPI / Flask / Django — async patterns, dependency injection, middleware, API versioning, testing, and production deploymentDatabases: Deep practical experience with PostgreSQL / MySQL / SQL Server — complex queries, joins, indexing, transactions, ORM usage (SQLAlchemy / Django ORM), and performance tuningAuthentication & Security: Demonstrated depth in auth frameworks beyond JWT basics — OAuth 2.0, OIDC, SSO, RBAC, secure session handling, and API security best practicesRESTful APIs: Proven experience designing, building, and integrating REST APIs and backend services at scaleAI / 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 plusReactJS (Secondary): Hands-on expertise with ReactJS — Hooks, component lifecycle, and state management (Redux / Context API)Candidate Profile ExpectationsBackend-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 fluencyFrontend-heavy profiles (e.g., 80/20 frontend/backend) will not be a fit for this roleTech Stack :Python / Backend: Python-heavy backend developmentFastAPI: Hands-on experience preferredFull-Stack / ReactAI / LLM: Hands-on production experience preferredRAG / Semantic Search: Hands-on experience with RAG pipelines, vector embeddings, semantic search, and document intelligenceAgentic AI / Tool Calling: Production experience with LLM workflows, agents, tool calling, and orchestrationLLM Fundamentals: Strong understanding of LLM concepts and practical API/model integrationLangChain / LangGraph: Hands-on LangChain; LangGraph experience preferredMCP: MCP concepts/exposure preferredGenAI Prototype Integration: Experience integrating GenAI/RAG POCs or prototypes into applications/production workflowsPostgreSQL / SQLAlchemyREST / Microservices / Async PythonSecurity: OAuth 2.0/OIDC, JWT, RBACCloud / DevOps: Docker, Kubernetes, CI/CD; AWS/GCP/Azure preferred","datePosted":"2026-09-04T08:24:23.282Z","dateModified":"2026-09-04T08:24:23.282Z","hiringOrganization":{"@type":"Organization","name":"Infinity Quest","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Miami","addressRegion":"FL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"09ae6cffa2e9d846270eba8d"},"url":"https://jobsearcher.com/jobs/09ae6cffa2e9d846270eba8d"}}